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1207.4708v2
[ { "index": 5, "records": [ { "column": 3, "dataset": "Atari 2600 Asterix", "metric": "Score", "model": "Best Learner", "row": 1, "task": "Atari Games", "value": "987.3" }, { "column": 3, "dataset": "Atari 2600 Beam Rider", "metric": "Score", "model": "Best Learner", "row": 2, "task": "Atari Games", "value": "929.4" }, { "column": 3, "dataset": "Atari 2600 Freeway", "metric": "Score", "model": "Best Learner", "row": 3, "task": "Atari Games", "value": "19.1" }, { "column": 3, "dataset": "Atari 2600 Seaquest", "metric": "Score", "model": "Best Learner", "row": 4, "task": "Atari Games", "value": "664.8" }, { "column": 3, "dataset": "Atari 2600 Space Invaders", "metric": "Score", "model": "Best Learner", "row": 5, "task": "Atari Games", "value": "250.1" }, { "column": 3, "dataset": "Atari 2600 Alien", "metric": "Score", "model": "Best Learner", "row": 6, "task": "Atari Games", "value": "939.2" }, { "column": 3, "dataset": "Atari 2600 Amidar", "metric": "Score", "model": "Best Learner", "row": 7, "task": "Atari Games", "value": "103.4" }, { "column": 3, "dataset": "Atari 2600 Assault", "metric": "Score", "model": "Best Learner", "row": 8, "task": "Atari Games", "value": "628" }, { "column": 3, "dataset": "Atari 2600 Asteroids", "metric": "Score", "model": "Best Learner", "row": 9, "task": "Atari Games", "value": "907.3" }, { "column": 3, "dataset": "Atari 2600 Atlantis", "metric": "Score", "model": "Best Learner", "row": 10, "task": "Atari Games", "value": "62687" }, { "column": 3, "dataset": "Atari 2600 Bank Heist", "metric": "Score", "model": "Best Learner", "row": 11, "task": "Atari Games", "value": "190.8" }, { "column": 3, "dataset": "Atari 2600 Battle Zone", "metric": "Score", "model": "Best Learner", "row": 12, "task": "Atari Games", "value": "15819.7" }, { "column": 3, "dataset": "Atari 2600 Berzerk", "metric": "Score", "model": "Best Learner", "row": 13, "task": "Atari Games", "value": "501.3" }, { "column": 3, "dataset": "Atari 2600 Bowling", "metric": "Score", "model": "Best Learner", "row": 14, "task": "Atari Games", "value": "43.9" }, { "column": 3, "dataset": "Atari 2600 Boxing", "metric": "Score", "model": "Best Learner", "row": 15, "task": "Atari Games", "value": "44" }, { "column": 3, "dataset": "Atari 2600 Breakout", "metric": "Score", "model": "Best Learner", "row": 16, "task": "Atari Games", "value": "5.2" }, { "column": 3, "dataset": "Atari 2600 Carnival", "metric": "Score", "model": "Best Learner", "row": 17, "task": "Atari Games", "value": "2323.9" }, { "column": 3, "dataset": "Atari 2600 Centipede", "metric": "Score", "model": "Best Learner", "row": 18, "task": "Atari Games", "value": "8803.8" }, { "column": 3, "dataset": "Atari 2600 Chopper Command", "metric": "Score", "model": "Best Learner", "row": 19, "task": "Atari Games", "value": "1581.5" }, { "column": 3, "dataset": "Atari 2600 Crazy Climber", "metric": "Score", "model": "Best Learner", "row": 20, "task": "Atari Games", "value": "23410.6" }, { "column": 3, "dataset": "Atari 2600 Demon Attack", "metric": "Score", "model": "Best Learner", "row": 21, "task": "Atari Games", "value": "520.5" }, { "column": 3, "dataset": "Atari 2600 Double Dunk", "metric": "Score", "model": "Best Learner", "row": 22, "task": "Atari Games", "value": "-13.1" }, { "column": 3, "dataset": "Atari 2600 Elevator Action", "metric": "Action", "model": "Best Learner", "row": 23, "task": "Atari Games", "value": "3220.6" }, { "column": 3, "dataset": "Atari 2600 Enduro", "metric": "Score", "model": "Best Learner", "row": 24, "task": "Atari Games", "value": "129.1" }, { "column": 3, "dataset": "Atari 2600 Fishing Derby", "metric": "Score", "model": "Best Learner", "row": 25, "task": "Atari Games", "value": "-89.5" }, { "column": 3, "dataset": "Atari 2600 Frostbite", "metric": "Score", "model": "Best Learner", "row": 26, "task": "Atari Games", "value": "216.9" }, { "column": 3, "dataset": "Atari 2600 Gopher", "metric": "Score", "model": "Best Learner", "row": 27, "task": "Atari Games", "value": "1288.3" }, { "column": 3, "dataset": "Atari 2600 Gravitar", "metric": "Score", "model": "Best Learner", "row": 28, "task": "Atari Games", "value": "387.7" }, { "column": 3, "dataset": "Atari 2600 HERO", "metric": "Score", "model": "Best Learner", "row": 29, "task": "Atari Games", "value": "6458.8" }, { "column": 3, "dataset": "Atari 2600 Ice Hockey", "metric": "Score", "model": "Best Learner", "row": 30, "task": "Atari Games", "value": "-9.5" }, { "column": 3, "dataset": "Atari 2600 James Bond", "metric": "Score", "model": "Best Learner", "row": 31, "task": "Atari Games", "value": "202.8" }, { "column": 3, "dataset": "Atari 2600 Journey Escape", "metric": "Score", "model": "Best Learner", "row": 32, "task": "Atari Games", "value": "-8441" }, { "column": 3, "dataset": "Atari 2600 Kangaroo", "metric": "Score", "model": "Best Learner", "row": 33, "task": "Atari Games", "value": "1622.1" }, { "column": 3, "dataset": "Atari 2600 Krull", "metric": "Score", "model": "Best Learner", "row": 34, "task": "Atari Games", "value": "3371.5" }, { "column": 3, "dataset": "Atari 2600 Kung-Fu Master", "metric": "Score", "model": "Best Learner", "row": 35, "task": "Atari Games", "value": "19544" }, { "column": 3, "dataset": "Atari 2600 Montezuma's Revenge", "metric": "Score", "model": "Best Learner", "row": 36, "task": "Atari Games", "value": "10.7" }, { "column": 3, "dataset": "Atari 2600 Ms. Pacman", "metric": "Score", "model": "Best Learner", "row": 37, "task": "Atari Games", "value": "1691.8" }, { "column": 3, "dataset": "Atari 2600 Name This Game", "metric": "Score", "model": "Best Learner", "row": 38, "task": "Atari Games", "value": "2500.1" }, { "column": 3, "dataset": "Atari 2600 Pooyan", "metric": "Score", "model": "Best Learner", "row": 39, "task": "Atari Games", "value": "1225.3" }, { "column": 3, "dataset": "Atari 2600 Pong", "metric": "Score", "model": "Best Learner", "row": 40, "task": "Atari Games", "value": "-19" }, { "column": 3, "dataset": "Atari 2600 Private Eye", "metric": "Score", "model": "Best Learner", "row": 41, "task": "Atari Games", "value": "684.3" }, { "column": 3, "dataset": "Atari 2600 Q*Bert", "metric": "Score", "model": "Best Learner", "row": 42, "task": "Atari Games", "value": "613.5" }, { "column": 3, "dataset": "Atari 2600 River Raid", "metric": "Score", "model": "Best Learner", "row": 43, "task": "Atari Games", "value": "1904.3" }, { "column": 3, "dataset": "Atari 2600 Road Runner", "metric": "Score", "model": "Best Learner", "row": 44, "task": "Atari Games", "value": "67.7" }, { "column": 3, "dataset": "Atari 2600 Robotank", "metric": "Score", "model": "Best Learner", "row": 45, "task": "Atari Games", "value": "28.7" }, { "column": 3, "dataset": "Atari 2600 Skiing", "metric": "Score", "model": "Best Learner", "row": 46, "task": "Atari Games", "value": "0" }, { "column": 3, "dataset": "Atari 2600 Star Gunner", "metric": "Score", "model": "Best Learner", "row": 47, "task": "Atari Games", "value": "1069.5" }, { "column": 3, "dataset": "Atari 2600 Tennis", "metric": "Score", "model": "Best Learner", "row": 48, "task": "Atari Games", "value": "-0.1" }, { "column": 3, "dataset": "Atari 2600 Time Pilot", "metric": "Score", "model": "Best Learner", "row": 49, "task": "Atari Games", "value": "3741.2" }, { "column": 3, "dataset": "Atari 2600 Tutankham", "metric": "Score", "model": "Best Learner", "row": 50, "task": "Atari Games", "value": "114.3" }, { "column": 3, "dataset": "Atari 2600 Up and Down", "metric": "Score", "model": "Best Learner", "row": 51, "task": "Atari Games", "value": "3532.7" }, { "column": 3, "dataset": "Atari 2600 Venture", "metric": "Score", "model": "Best Learner", "row": 52, "task": "Atari Games", "value": "66" }, { "column": 3, "dataset": "Atari 2600 Video Pinball", "metric": "Score", "model": "Best Learner", "row": 53, "task": "Atari Games", "value": "16871.3" }, { "column": 3, "dataset": "Atari 2600 Wizard of Wor", "metric": "Score", "model": "Best Learner", "row": 54, "task": "Atari Games", "value": "1981.3" }, { "column": 3, "dataset": "Atari 2600 Zaxxon", "metric": "Score", "model": "Best Learner", "row": 55, "task": "Atari Games", "value": "3365.1" } ] } ]
1208.5092v1
[ { "index": 0, "records": [ { "column": 9, "dataset": "Coil-20", "metric": "NMI", "model": "GDL-U", "row": 1, "task": "Image Clustering", "value": "0.937" }, { "column": 10, "dataset": "Coil-20", "metric": "NMI", "model": "AGDL", "row": 1, "task": "Image Clustering", "value": "0.937" }, { "column": 9, "dataset": "coil-100", "metric": "NMI", "model": "GDL-U", "row": 2, "task": "Image Clustering", "value": "0.929" }, { "column": 10, "dataset": "coil-100", "metric": "NMI", "model": "AGDL", "row": 2, "task": "Image Clustering", "value": "0.933" }, { "column": 9, "dataset": "USPS", "metric": "NMI", "model": "GDL-U", "row": 3, "task": "Image Clustering", "value": "0.824" }, { "column": 10, "dataset": "USPS", "metric": "NMI", "model": "AGDL", "row": 3, "task": "Image Clustering", "value": "0.824" }, { "column": 10, "dataset": "MNIST-test", "metric": "NMI", "model": "AGDL", "row": 4, "task": "Image Clustering", "value": "0.844" }, { "column": 9, "dataset": "Extended Yale-B", "metric": "NMI", "model": "GDL-U", "row": 5, "task": "Image Clustering", "value": "0.91" }, { "column": 10, "dataset": "Extended Yale-B", "metric": "NMI", "model": "AGDL", "row": 5, "task": "Image Clustering", "value": "0.91" }, { "column": 9, "dataset": "Coil-20", "metric": "NMI", "model": "GDL-U", "row": 6, "task": "Image Clustering", "value": "0.747" }, { "column": 10, "dataset": "Coil-20", "metric": "NMI", "model": "GDL-U", "row": 6, "task": "Image Clustering", "value": "0.746" } ] } ]
1312.5602v1
[ { "index": 0, "records": [ { "column": 1, "dataset": "Atari 2600 Beam Rider", "metric": "Score", "model": "DQN Best", "row": 8, "task": "Atari Games", "value": "5184" }, { "column": 2, "dataset": "Atari 2600 Breakout", "metric": "Score", "model": "DQN Best", "row": 8, "task": "Atari Games", "value": "225" }, { "column": 3, "dataset": "Atari 2600 Enduro", "metric": "Score", "model": "DQN Best", "row": 8, "task": "Atari Games", "value": "661" }, { "column": 4, "dataset": "Atari 2600 Pong", "metric": "Score", "model": "DQN Best", "row": 8, "task": "Atari Games", "value": "21" }, { "column": 5, "dataset": "Atari 2600 Q*Bert", "metric": "Score", "model": "DQN Best", "row": 8, "task": "Atari Games", "value": "4500" }, { "column": 6, "dataset": "Atari 2600 Seaquest", "metric": "Score", "model": "DQN Best", "row": 8, "task": "Atari Games", "value": "1740" }, { "column": 7, "dataset": "Atari 2600 Space Invaders", "metric": "Score", "model": "DQN Best", "row": 8, "task": "Atari Games", "value": "1075" } ] } ]
1312.6173v4
[ { "index": 0, "records": [ { "column": 1, "dataset": "Reuters RCV1/RCV2 English-to-German", "metric": "Accuracy", "model": "biCVM+", "row": 6, "task": "Cross-Lingual Document Classification", "value": "86.2" }, { "column": 2, "dataset": "Reuters RCV1/RCV2 German-to-English", "metric": "Accuracy", "model": "biCVM+", "row": 6, "task": "Cross-Lingual Document Classification", "value": "76.9" } ] } ]
1404.4641v1
[ { "index": 0, "records": [ { "column": 1, "dataset": "Reuters RCV1/RCV2 English-to-German", "metric": "Accuracy", "model": "Bi+", "row": 14, "task": "Cross-Lingual Document Classification", "value": "88.1" }, { "column": 2, "dataset": "Reuters RCV1/RCV2 German-to-English", "metric": "Accuracy", "model": "Bi+", "row": 14, "task": "Cross-Lingual Document Classification", "value": "79.2" } ] } ]
1406.2199v2
[ { "index": 4, "records": [ { "column": 1, "dataset": "HMDB51", "metric": "Accuracy", "model": "Two-stream model (fusion by SVM)", "row": 9, "task": "Action Classification", "value": "88" } ] } ]
1410.2455v3
[ { "index": 0, "records": [ { "column": 1, "dataset": "Reuters En-De", "metric": "Accuracy", "model": "BilBOWA", "row": 7, "task": "Document Classification", "value": "86.5" }, { "column": 2, "dataset": "Reuters De-En", "metric": "Accuracy", "model": "BilBOWA", "row": 7, "task": "Document Classification", "value": "75" } ] } ]
1411.0589v3
[ { "index": 2, "records": [ { "column": 1, "dataset": "ArrayCGH", "metric": "Accuracy", "model": "Fused Lasso", "row": 1, "task": "Microarray Classification", "value": "73.6" }, { "column": 1, "dataset": "Leukemias", "metric": "Accuracy", "model": "Fused Lasso", "row": 2, "task": "Microarray Classification", "value": "92" }, { "column": 1, "dataset": "Colon", "metric": "Accuracy", "model": "Fused Lasso", "row": 3, "task": "Microarray Classification", "value": "77.2" }, { "column": 1, "dataset": "Ovarian", "metric": "Accuracy", "model": "Fused Lasso", "row": 4, "task": "Microarray Classification", "value": "88.8" }, { "column": 1, "dataset": "Rat", "metric": "Accuracy", "model": "Fused Lasso", "row": 5, "task": "Microarray Classification", "value": "68.8" } ] } ]
1412.6334v4
[ { "index": 1, "records": [ { "column": 2, "dataset": "Reuters RCV1/RCV2 English-to-German", "metric": "Accuracy", "model": "Biinclusion (Euro500kReuters)", "row": 12, "task": "Cross-Lingual Document Classification", "value": "92.7" }, { "column": 3, "dataset": "Reuters RCV1/RCV2 German-to-English", "metric": "Accuracy", "model": "Biinclusion (Euro500kReuters)", "row": 12, "task": "Cross-Lingual Document Classification", "value": "84.4" } ] } ]
1502.00873v1
[ { "index": 0, "records": [ { "column": 1, "dataset": "Labeled Faces in the Wild", "metric": "Accuracy", "model": "DeepID3", "row": 8, "task": "Face Verification", "value": "99.53" } ] } ]
1506.01911v3
[ { "index": 0, "records": [ { "column": 1, "dataset": "Montalbano", "metric": "Jaccard (Mean)", "model": "Temp Conv + LSTM", "row": 7, "task": "Gesture Recognition", "value": "90.6" }, { "column": 2, "dataset": "Montalbano", "metric": "Precision", "model": "Temp Conv + LSTM", "row": 7, "task": "Gesture Recognition", "value": "94.49" }, { "column": 3, "dataset": "Montalbano", "metric": "Recall", "model": "Temp Conv + LSTM", "row": 7, "task": "Gesture Recognition", "value": "94.57" }, { "column": 4, "dataset": "Montalbano", "metric": "Error rate", "model": "Temp Conv + LSTM", "row": 7, "task": "Gesture Recognition", "value": "2.77" } ] } ]
1507.02159v1
[ { "index": 2, "records": [ { "column": 2, "dataset": "UCF101", "metric": "3-fold Accuracy", "model": "Very deep two-stream ConvNet", "row": 8, "task": "Action Recognition In Videos", "value": "91.4" } ] } ]
1509.06461v3
[ { "index": 4, "records": [ { "column": 5, "dataset": "Atari 2600 Asterix", "metric": "Score", "model": "DDQN (tuned) hs", "row": 4, "task": "Atari Games", "value": "16837.0" } ] } ]
1510.04935v2
[ { "index": 2, "records": [ { "column": 3, "dataset": "WN18", "metric": "Hits@1", "model": "HolE", "row": 7, "task": "Link Prediction", "value": "0.93" }, { "column": 4, "dataset": "WN18", "metric": "Hits@3", "model": "HolE", "row": 7, "task": "Link Prediction", "value": "0.945" }, { "column": 5, "dataset": "WN18", "metric": "Hits@10", "model": "HolE", "row": 7, "task": "Link Prediction", "value": "0.949" }, { "column": 8, "dataset": "FB15k", "metric": "Hits@1", "model": "HolE", "row": 7, "task": "Link Prediction", "value": "0.402" }, { "column": 9, "dataset": "FB15k", "metric": "Hits@3", "model": "HolE", "row": 7, "task": "Link Prediction", "value": "0.613" }, { "column": 10, "dataset": "FB15k", "metric": "Hits@10", "model": "HolE", "row": 7, "task": "Link Prediction", "value": "0.7390000000000001" } ] } ]
1511.02799v4
[ { "index": 2, "records": [ { "column": 4, "dataset": "VQA v1 test-dev", "metric": "Accuracy", "model": "NMN+LSTM+FT", "row": 7, "task": "Visual Question Answering", "value": "58.6" }, { "column": 5, "dataset": "VQA v1 test-std", "metric": "Accuracy", "model": "NMN+LSTM+FT", "row": 7, "task": "Visual Question Answering", "value": "58.7" } ] } ]
1511.05952v4
[ { "index": 6, "records": [ { "column": 7, "dataset": "Atari 2600 Alien", "metric": "Score", "model": "Prior hs", "row": 2, "task": "Atari Games", "value": "1334.7" }, { "column": 7, "dataset": "Atari 2600 Amidar", "metric": "Score", "model": "Prior hs", "row": 3, "task": "Atari Games", "value": "129.1" }, { "column": 7, "dataset": "Atari 2600 Assault", "metric": "Score", "model": "Prior hs", "row": 4, "task": "Atari Games", "value": "6548.9" }, { "column": 7, "dataset": "Atari 2600 Asterix", "metric": "Score", "model": "Prior hs", "row": 5, "task": "Atari Games", "value": "22484.5" }, { "column": 7, "dataset": "Atari 2600 Asteroids", "metric": "Score", "model": "Prior hs", "row": 6, "task": "Atari Games", "value": "1745.1" }, { "column": 7, "dataset": "Atari 2600 Atlantis", "metric": "Score", "model": "Prior hs", "row": 7, "task": "Atari Games", "value": "330647.0" }, { "column": 7, "dataset": "Atari 2600 Bank Heist", "metric": "Score", "model": "Prior hs", "row": 8, "task": "Atari Games", "value": "876.6" }, { "column": 7, "dataset": "Atari 2600 Battle Zone", "metric": "Score", "model": "Prior hs", "row": 9, "task": "Atari Games", "value": "25520.0" }, { "column": 7, "dataset": "Atari 2600 Beam Rider", "metric": "Score", "model": "Prior hs", "row": 10, "task": "Atari Games", "value": "31181.3" }, { "column": 7, "dataset": "Atari 2600 Berzerk", "metric": "Score", "model": "Prior hs", "row": 11, "task": "Atari Games", "value": "865.9" }, { "column": 7, "dataset": "Atari 2600 Bowling", "metric": "Score", "model": "Prior hs", "row": 12, "task": "Atari Games", "value": "52.0" }, { "column": 7, "dataset": "Atari 2600 Boxing", "metric": "Score", "model": "Prior hs", "row": 13, "task": "Atari Games", "value": "72.3" }, { "column": 7, "dataset": "Atari 2600 Breakout", "metric": "Score", "model": "Prior hs", "row": 14, "task": "Atari Games", "value": "343.0" }, { "column": 7, "dataset": "Atari 2600 Centipede", "metric": "Score", "model": "Prior hs", "row": 15, "task": "Atari Games", "value": "3489.1" }, { "column": 7, "dataset": "Atari 2600 Chopper Command", "metric": "Score", "model": "Prior hs", "row": 16, "task": "Atari Games", "value": "4635.0" }, { "column": 7, "dataset": "Atari 2600 Crazy Climber", "metric": "Score", "model": "Prior hs", "row": 17, "task": "Atari Games", "value": "127512.0" }, { "column": 7, "dataset": "Atari 2600 Demon Attack", "metric": "Score", "model": "Prior hs", "row": 19, "task": "Atari Games", "value": "61277.5" }, { "column": 7, "dataset": "Atari 2600 Double Dunk", "metric": "Score", "model": "Prior hs", "row": 20, "task": "Atari Games", "value": "16.0" }, { "column": 7, "dataset": "Atari 2600 Enduro", "metric": "Score", "model": "Prior hs", "row": 21, "task": "Atari Games", "value": "1831.0" }, { "column": 7, "dataset": "Atari 2600 Fishing Derby", "metric": "Score", "model": "Prior hs", "row": 22, "task": "Atari Games", "value": "9.8" }, { "column": 7, "dataset": "Atari 2600 Freeway", "metric": "Score", "model": "Prior hs", "row": 23, "task": "Atari Games", "value": "28.9" }, { "column": 7, "dataset": "Atari 2600 Frostbite", "metric": "Score", "model": "Prior hs", "row": 24, "task": "Atari Games", "value": "3510.0" }, { "column": 7, "dataset": "Atari 2600 Gopher", "metric": "Score", "model": "Prior hs", "row": 25, "task": "Atari Games", "value": "34858.8" }, { "column": 7, "dataset": "Atari 2600 Gravitar", "metric": "Score", "model": "Prior hs", "row": 26, "task": "Atari Games", "value": "269.5" }, { "column": 7, "dataset": "Atari 2600 HERO", "metric": "Score", "model": "Prior hs", "row": 27, "task": "Atari Games", "value": "20889.9" }, { "column": 7, "dataset": "Atari 2600 Ice Hockey", "metric": "Score", "model": "Prior hs", "row": 28, "task": "Atari Games", "value": "-0.2" }, { "column": 7, "dataset": "Atari 2600 James Bond", "metric": "Score", "model": "Prior hs", "row": 29, "task": "Atari Games", "value": "3961.0" }, { "column": 7, "dataset": "Atari 2600 Kangaroo", "metric": "Score", "model": "Prior hs", "row": 30, "task": "Atari Games", "value": "12185.0" }, { "column": 7, "dataset": "Atari 2600 Krull", "metric": "Score", "model": "Prior hs", "row": 31, "task": "Atari Games", "value": "6872.8" }, { "column": 7, "dataset": "Atari 2600 Kung-Fu Master", "metric": "Score", "model": "Prior hs", "row": 32, "task": "Atari Games", "value": "31676.0" }, { "column": 7, "dataset": "Atari 2600 Montezuma's Revenge", "metric": "Score", "model": "Prior hs", "row": 33, "task": "Atari Games", "value": "51.0" }, { "column": 7, "dataset": "Atari 2600 Ms. Pacman", "metric": "Score", "model": "Prior hs", "row": 34, "task": "Atari Games", "value": "1865.9" }, { "column": 7, "dataset": "Atari 2600 Name This Game", "metric": "Score", "model": "Prior hs", "row": 35, "task": "Atari Games", "value": "10497.6" }, { "column": 7, "dataset": "Atari 2600 Private Eye", "metric": "Score", "model": "Prior hs", "row": 39, "task": "Atari Games", "value": "670.7" }, { "column": 7, "dataset": "Atari 2600 Q*Bert", "metric": "Score", "model": "Prior hs", "row": 40, "task": "Atari Games", "value": "9944.0" }, { "column": 7, "dataset": "Atari 2600 River Raid", "metric": "Score", "model": "Prior hs", "row": 41, "task": "Atari Games", "value": "11807.2" }, { "column": 1, "dataset": "Atari 2600 Private Eye", "metric": "Score", "model": "Prior noop", "row": 42, "task": "Atari Games", "value": "200.0" }, { "column": 7, "dataset": "Atari 2600 Road Runner", "metric": "Score", "model": "Prior hs", "row": 42, "task": "Atari Games", "value": "52264.0" }, { "column": 7, "dataset": "Atari 2600 Robotank", "metric": "Score", "model": "Prior hs", "row": 43, "task": "Atari Games", "value": "56.2" }, { "column": 7, "dataset": "Atari 2600 Seaquest", "metric": "Score", "model": "Prior hs", "row": 44, "task": "Atari Games", "value": "25463.7" }, { "column": 7, "dataset": "Atari 2600 Space Invaders", "metric": "Score", "model": "Prior hs", "row": 47, "task": "Atari Games", "value": "3912.1" }, { "column": 7, "dataset": "Atari 2600 Star Gunner", "metric": "Score", "model": "Prior hs", "row": 48, "task": "Atari Games", "value": "61582.0" }, { "column": 7, "dataset": "Atari 2600 Time Pilot", "metric": "Score", "model": "Prior hs", "row": 51, "task": "Atari Games", "value": "5963.0" }, { "column": 7, "dataset": "Atari 2600 Tutankham", "metric": "Score", "model": "Prior hs", "row": 52, "task": "Atari Games", "value": "56.9" }, { "column": 7, "dataset": "Atari 2600 Up and Down", "metric": "Score", "model": "Prior hs", "row": 53, "task": "Atari Games", "value": "12157.4" }, { "column": 7, "dataset": "Atari 2600 Venture", "metric": "Score", "model": "Prior hs", "row": 54, "task": "Atari Games", "value": "94.0" }, { "column": 7, "dataset": "Atari 2600 Video Pinball", "metric": "Score", "model": "Prior hs", "row": 55, "task": "Atari Games", "value": "295972.8" }, { "column": 7, "dataset": "Atari 2600 Wizard of Wor", "metric": "Score", "model": "Prior hs", "row": 56, "task": "Atari Games", "value": "5727.0" }, { "column": 7, "dataset": "Atari 2600 Zaxxon", "metric": "Score", "model": "Prior hs", "row": 58, "task": "Atari Games", "value": "9474.0" } ] } ]
1511.06581v3
[ { "index": 1, "records": [ { "column": 8, "dataset": "Atari 2600 Asterix", "metric": "Score", "model": "Prior+Duel noop", "row": 4, "task": "Atari Games", "value": "375080.0" }, { "column": 6, "dataset": "Atari 2600 Defender", "metric": "Score", "model": "Duel noop", "row": 17, "task": "Atari Games", "value": "42214.0" }, { "column": 7, "dataset": "Atari 2600 Freeway", "metric": "Score", "model": "Ape-X", "row": 22, "task": "Atari Games", "value": "33.7" }, { "column": 6, "dataset": "Atari 2600 Q*Bert", "metric": "Score", "model": "Duel noop", "row": 39, "task": "Atari Games", "value": "19220.3" } ] } ]
1512.01693v1
[ { "index": 0, "records": [ { "column": 1, "dataset": "Atari 2600 Breakout", "metric": "Score", "model": "DARQN hard", "row": 3, "task": "Atari Games", "value": "20" }, { "column": 2, "dataset": "Atari 2600 Seaquest", "metric": "Score", "model": "DARQN soft", "row": 4, "task": "Atari Games", "value": "7263" }, { "column": 3, "dataset": "Atari 2600 Space Invaders", "metric": "Score", "model": "DARQN soft", "row": 4, "task": "Atari Games", "value": "650" }, { "column": 4, "dataset": "Atari 2600 Tutankham", "metric": "Score", "model": "DARQN soft", "row": 4, "task": "Atari Games", "value": "197" }, { "column": 5, "dataset": "Atari 2600 Gopher", "metric": "Score", "model": "DARQN soft", "row": 4, "task": "Atari Games", "value": "5356" } ] } ]
1512.02325v5
[ { "index": 0, "records": [ { "column": 2, "dataset": "PASCAL VOC 2007", "metric": "MAP", "model": "SSD512 (07+12+COCO)", "row": 11, "task": "Object Detection", "value": "81.6" } ] }, { "index": 3, "records": [ { "column": 2, "dataset": "PASCAL VOC 2012", "metric": "MAP", "model": "SSD512 (07+12+COCO)", "row": 8, "task": "Object Detection", "value": "80" } ] }, { "index": 5, "records": [ { "column": 5, "dataset": "COCO test-dev", "metric": "box AP", "model": "SSD512", "row": 6, "task": "Object Detection", "value": "28.8" }, { "column": 6, "dataset": "COCO test-dev", "metric": "AP50", "model": "SSD512", "row": 6, "task": "Object Detection", "value": "48.5" }, { "column": 7, "dataset": "COCO test-dev", "metric": "AP75", "model": "SSD512", "row": 6, "task": "Object Detection", "value": "30.3" } ] } ]
1512.04860v1
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"model": "Advantage Learning", "row": 4, "task": "Atari Games", "value": "8670.5" }, { "column": 3, "dataset": "Atari 2600 Seaquest", "metric": "Score", "model": "Persistent AL", "row": 4, "task": "Atari Games", "value": "13230.74" }, { "column": 2, "dataset": "Atari 2600 Space Invaders", "metric": "Score", "model": "Advantage Learning", "row": 5, "task": "Atari Games", "value": "3460.79" }, { "column": 3, "dataset": "Atari 2600 Space Invaders", "metric": "Score", "model": "Persistent AL", "row": 5, "task": "Atari Games", "value": "3277.59" }, { "column": 2, "dataset": "Atari 2600 Alien", "metric": "Score", "model": "Advantage Learning", "row": 6, "task": "Atari Games", "value": "4990.91" }, { "column": 3, "dataset": "Atari 2600 Alien", "metric": "Score", "model": "Persistent AL", "row": 6, "task": "Atari Games", "value": "5699.81" }, { "column": 2, "dataset": "Atari 2600 Amidar", "metric": "Score", "model": "Advantage Learning", "row": 7, "task": "Atari Games", "value": "1557.43" }, { "column": 3, "dataset": "Atari 2600 Amidar", "metric": "Score", "model": "Persistent AL", "row": 7, "task": "Atari Games", "value": "1451.65" }, { "column": 2, "dataset": "Atari 2600 Assault", "metric": "Score", "model": "Advantage Learning", "row": 8, "task": "Atari Games", "value": "3661.51" }, { "column": 3, "dataset": "Atari 2600 Assault", "metric": "Score", "model": "Persistent AL", "row": 8, "task": "Atari Games", "value": "3304.33" }, { "column": 2, "dataset": "Atari 2600 Asteroids", "metric": "Score", "model": "Advantage Learning", "row": 9, "task": "Atari Games", "value": "1924.42" }, { "column": 3, "dataset": "Atari 2600 Asteroids", "metric": "Score", "model": "Persistent AL", "row": 9, "task": "Atari Games", "value": "1673.52" }, { "column": 2, "dataset": "Atari 2600 Atlantis", "metric": "Score", "model": "Advantage Learning", "row": 10, "task": "Atari Games", "value": "553591.67" }, { "column": 3, "dataset": "Atari 2600 Atlantis", "metric": "Score", "model": "Persistent AL", "row": 10, "task": "Atari Games", "value": "1465250" }, { "column": 2, "dataset": "Atari 2600 Bank Heist", "metric": "Score", "model": "Advantage Learning", "row": 11, "task": "Atari Games", "value": "633.63" }, { "column": 3, "dataset": "Atari 2600 Bank Heist", "metric": "Score", "model": "Persistent AL", "row": 11, "task": "Atari Games", "value": "874.99" }, { "column": 2, "dataset": "Atari 2600 Battle Zone", "metric": "Score", "model": "Advantage Learning", "row": 12, "task": "Atari Games", "value": "28789.29" }, { "column": 3, "dataset": "Atari 2600 Battle Zone", "metric": "Score", "model": "Persistent AL", "row": 12, "task": "Atari Games", "value": "34583.07" }, { "column": 2, "dataset": "Atari 2600 Berzerk", "metric": "Score", "model": "Advantage Learning", "row": 13, "task": "Atari Games", "value": "747.26" }, { "column": 3, "dataset": "Atari 2600 Berzerk", "metric": "Score", "model": "Persistent AL", "row": 13, "task": "Atari Games", "value": "1328.25" }, { "column": 2, "dataset": "Atari 2600 Bowling", "metric": "Score", "model": "Advantage Learning", "row": 14, "task": "Atari Games", "value": "57.41" }, { "column": 3, "dataset": "Atari 2600 Bowling", "metric": "Score", "model": "Persistent AL", "row": 14, "task": "Atari Games", "value": "71.59" }, { "column": 2, "dataset": "Atari 2600 Boxing", "metric": "Score", "model": "Advantage Learning", "row": 15, "task": "Atari Games", "value": "93.94" }, { "column": 3, "dataset": "Atari 2600 Boxing", "metric": "Score", "model": "Persistent AL", "row": 15, "task": "Atari Games", "value": "94.3" }, { "column": 2, "dataset": "Atari 2600 Breakout", "metric": "Score", "model": "Advantage Learning", "row": 16, "task": "Atari Games", "value": "425.32" }, { "column": 3, "dataset": "Atari 2600 Breakout", "metric": "Score", "model": "Persistent AL", "row": 16, "task": "Atari Games", "value": "431.89" }, { "column": 2, "dataset": "Atari 2600 James Bond", "metric": "Score", "model": "Advantage Learning", "row": 17, "task": "Atari Games", "value": "5111.4" }, { "column": 3, "dataset": "Atari 2600 James Bond", "metric": "Score", "model": "Persistent AL", "row": 17, "task": "Atari Games", "value": "4679.93" }, { "column": 2, "dataset": "Atari 2600 Centipede", "metric": "Score", "model": "Advantage Learning", "row": 18, "task": "Atari Games", "value": "4225.18" }, { "column": 3, "dataset": "Atari 2600 Centipede", "metric": "Score", "model": "Persistent AL", "row": 18, "task": "Atari Games", "value": "4539.55" }, { "column": 2, "dataset": "Atari 2600 Chopper Command", "metric": "Score", "model": "Advantage Learning", "row": 19, "task": "Atari Games", "value": "5431.36" }, { "column": 3, "dataset": "Atari 2600 Chopper Command", "metric": "Score", "model": "Persistent AL", "row": 19, "task": "Atari Games", "value": "5734.93" }, { "column": 2, "dataset": "Atari 2600 Crazy Climber", "metric": "Score", "model": "Advantage Learning", "row": 20, "task": "Atari Games", "value": "123410.71" }, { "column": 3, "dataset": "Atari 2600 Crazy Climber", "metric": "Score", "model": "Persistent AL", "row": 20, "task": "Atari Games", "value": "130002.71" }, { "column": 2, "dataset": "Atari 2600 Defender", "metric": "Score", "model": "Advantage Learning", "row": 21, "task": "Atari Games", "value": "30643.59" }, { "column": 3, "dataset": "Atari 2600 Defender", "metric": "Score", "model": "Persistent AL", "row": 21, "task": "Atari Games", "value": "32038.93" }, { "column": 2, "dataset": "Atari 2600 Demon Attack", "metric": "Score", "model": "Advantage Learning", "row": 22, "task": "Atari Games", "value": "27153.48" }, { "column": 3, "dataset": "Atari 2600 Demon Attack", "metric": "Score", "model": "Persistent AL", "row": 22, "task": "Atari Games", "value": "70908.17" }, { "column": 2, "dataset": "Atari 2600 Double Dunk", "metric": "Score", "model": "Advantage Learning", "row": 23, "task": "Atari Games", "value": "-0.15" }, { "column": 3, "dataset": "Atari 2600 Double Dunk", "metric": "Score", "model": "Persistent AL", "row": 23, "task": "Atari Games", "value": "-2.51" }, { "column": 2, "dataset": "Atari 2600 Elevator Action", "metric": "Score", "model": "Advantage Learning", "row": 24, "task": "Atari Games", "value": "27088.89" }, { "column": 3, "dataset": "Atari 2600 Elevator Action", "metric": "Score", "model": "Persistent AL", "row": 24, "task": "Atari Games", "value": "29100" }, { "column": 2, "dataset": "Atari 2600 Enduro", "metric": "Score", "model": "Advantage Learning", "row": 25, "task": "Atari Games", "value": "1252.7" }, { "column": 3, "dataset": "Atari 2600 Enduro", "metric": "Score", "model": "Persistent AL", "row": 25, "task": "Atari Games", "value": "1343.1" }, { "column": 2, "dataset": "Atari 2600 Fishing Derby", "metric": "Score", "model": "Advantage Learning", "row": 26, "task": "Atari Games", "value": "21.32" }, { "column": 3, "dataset": "Atari 2600 Fishing Derby", "metric": "Score", "model": "Persistent AL", "row": 26, "task": "Atari Games", "value": "28.13" }, { "column": 2, "dataset": "Atari 2600 Freeway", "metric": "Score", "model": "Advantage Learning", "row": 27, "task": "Atari Games", "value": "31.72" }, { "column": 3, "dataset": "Atari 2600 Freeway", "metric": "Score", "model": "Persistent AL", "row": 27, "task": "Atari Games", "value": "32.3" }, { "column": 2, "dataset": "Atari 2600 Frostbite", "metric": "Score", "model": "Advantage Learning", "row": 28, "task": "Atari Games", "value": "2305.82" }, { "column": 3, "dataset": "Atari 2600 Frostbite", "metric": "Score", "model": "Persistent AL", "row": 28, "task": "Atari Games", "value": "3248.96" }, { "column": 2, "dataset": "Atari 2600 Gopher", "metric": "Score", "model": "Advantage Learning", "row": 29, "task": "Atari Games", "value": "11912.68" }, { "column": 3, "dataset": "Atari 2600 Gopher", "metric": "Score", "model": "Persistent AL", "row": 29, "task": "Atari Games", "value": "10611.81" }, { "column": 2, "dataset": "Atari 2600 Gravitar", "metric": "Score", "model": "Advantage Learning", "row": 30, "task": "Atari Games", "value": "417.65" }, { "column": 3, "dataset": "Atari 2600 Gravitar", "metric": "Score", "model": "Persistent AL", "row": 30, "task": "Atari Games", "value": "446.92" }, { "column": 2, "dataset": "Atari 2600 HERO", "metric": "Score", "model": "Advantage Learning", "row": 31, "task": "Atari Games", "value": "24788.86" }, { "column": 3, "dataset": "Atari 2600 HERO", "metric": "Score", "model": "Persistent AL", "row": 31, "task": "Atari Games", "value": "24175.79" }, { "column": 2, "dataset": "Atari 2600 Ice Hockey", "metric": "Score", "model": "Advantage Learning", "row": 32, "task": "Atari Games", "value": "-1.24" }, { "column": 3, "dataset": "Atari 2600 Ice Hockey", "metric": "Score", "model": "Persistent AL", "row": 32, "task": "Atari Games", "value": "-0.25" }, { "column": 2, "dataset": "Atari 2600 James Bond", "metric": "Score", "model": "Advantage Learning", "row": 33, "task": "Atari Games", "value": "848.46" }, { "column": 3, "dataset": "Atari 2600 James Bond", "metric": "Score", "model": "Persistent AL", "row": 33, "task": "Atari Games", "value": "772.09" }, { "column": 2, "dataset": "Atari 2600 Kangaroo", "metric": "Score", "model": "Advantage Learning", "row": 34, "task": "Atari Games", "value": "10809.16" }, { "column": 3, "dataset": "Atari 2600 Kangaroo", "metric": "Score", "model": "Persistent AL", "row": 34, "task": "Atari Games", "value": "11478.46" }, { "column": 2, "dataset": "Atari 2600 Krull", "metric": "Score", "model": "Advantage Learning", "row": 35, "task": "Atari Games", "value": "9548.92" }, { "column": 3, "dataset": "Atari 2600 Krull", "metric": "Score", "model": "Persistent AL", "row": 35, "task": "Atari Games", "value": "8689.81" }, { "column": 2, "dataset": "Atari 2600 Kung-Fu Master", "metric": "Score", "model": "Advantage Learning", "row": 36, "task": "Atari Games", "value": "32182.99" }, { "column": 3, "dataset": "Atari 2600 Kung-Fu Master", "metric": "Score", "model": "Persistent AL", "row": 36, "task": "Atari Games", "value": "34650.91" }, { "column": 2, "dataset": "Atari 2600 Montezuma's Revenge", "metric": "Score", "model": "Advantage Learning", "row": 37, "task": "Atari Games", "value": "0.42" }, { "column": 3, "dataset": "Atari 2600 Montezuma's Revenge", "metric": "Score", "model": "Persistent AL", "row": 37, "task": "Atari Games", "value": "1.72" }, { "column": 2, "dataset": "Atari 2600 Ms. Pacman", "metric": "Score", "model": "Advantage Learning", "row": 38, "task": "Atari Games", "value": "4065.8" }, { "column": 3, "dataset": "Atari 2600 Ms. Pacman", "metric": "Score", "model": "Persistent AL", "row": 38, "task": "Atari Games", "value": "3917.55" }, { "column": 2, "dataset": "Atari 2600 Name This Game", "metric": "Score", "model": "Advantage Learning", "row": 39, "task": "Atari Games", "value": "11025.26" }, { "column": 3, "dataset": "Atari 2600 Name This Game", "metric": "Score", "model": "Persistent AL", "row": 39, "task": "Atari Games", "value": "10431.33" }, { "column": 2, "dataset": "Atari 2600 Phoenix", "metric": "Score", "model": "Advantage Learning", "row": 40, "task": "Atari Games", "value": "22038.27" }, { "column": 3, "dataset": "Atari 2600 Phoenix", "metric": "Score", "model": "Persistent AL", "row": 40, "task": "Atari Games", "value": "14495.56" }, { "column": 2, "dataset": "Atari 2600 Pitfall!", "metric": "Score", "model": "Advantage Learning", "row": 41, "task": "Atari Games", "value": "0" }, { "column": 3, "dataset": "Atari 2600 Pitfall!", "metric": "Score", "model": "", "row": 41, "task": "Atari Games", "value": "0" }, { "column": 2, "dataset": "Atari 2600 Pooyan", "metric": "Score", "model": "Advantage Learning", "row": 42, "task": "Atari Games", "value": "4801.27" }, { "column": 3, "dataset": "Atari 2600 James Bond", "metric": "IS", "model": "", "row": 42, "task": "Anemia Detection", "value": "5858.84" }, { "column": 2, "dataset": "Atari 2600 Private Eye", "metric": "Score", "model": "Advantage Learning", "row": 43, "task": "Atari Games", "value": "5276.16" }, { "column": 2, "dataset": "Atari 2600 Q*Bert", "metric": "Score", "model": "Advantage Learning", "row": 44, "task": "Atari Games", "value": "14368.03" }, { "column": 2, "dataset": "Atari 2600 River Raid", "metric": "Score", "model": "Advantage Learning", "row": 45, "task": "Atari Games", "value": "10585.12" }, { "column": 2, "dataset": "Atari 2600 Road Runner", "metric": "Score", "model": "Advantage Learning", "row": 46, "task": "Atari Games", "value": "52351.23" }, { "column": 2, "dataset": "Atari 2600 Robotank", "metric": "Score", "model": "Advantage Learning", "row": 47, "task": "Atari Games", "value": "69.31" }, { "column": 2, "dataset": "Atari 2600 Skiing", "metric": "Score", "model": "Advantage Learning", "row": 48, "task": "Atari Games", "value": "-13264.51" }, { "column": 2, "dataset": "Atari 2600 Solaris", "metric": "Score", "model": "Advantage Learning", "row": 49, "task": "Atari Games", "value": "4785.16" }, { "column": 2, "dataset": "Atari 2600 Star Gunner", "metric": "Score", "model": "Advantage Learning", "row": 50, "task": "Atari Games", "value": "61353.59" }, { "column": 2, "dataset": "Atari 2600 Surround", "metric": "Score", "model": "Advantage Learning", "row": 51, "task": "Atari Games", "value": "-4.15" }, { "column": 2, "dataset": "Atari 2600 Tennis", "metric": "Score", "model": "Advantage Learning", "row": 52, "task": "Atari Games", "value": "0" }, { "column": 2, "dataset": "Atari 2600 Time Pilot", "metric": "Score", "model": "Advantage Learning", "row": 53, "task": "Atari Games", "value": "8969.12" }, { "column": 2, "dataset": "Atari 2600 Tutankham", "metric": "Score", "model": "Advantage Learning", "row": 54, "task": "Atari Games", "value": "245.22" }, { "column": 2, "dataset": "Atari 2600 Up and Down", "metric": "Score", "model": "Advantage Learning", "row": 55, "task": "Atari Games", "value": "13909.74" }, { "column": 2, "dataset": "Atari 2600 Venture", "metric": "Score", "model": "Advantage Learning", "row": 56, "task": "Atari Games", "value": "198.69" }, { "column": 2, "dataset": "Atari 2600 Video Pinball", "metric": "Score", "model": "Advantage Learning", "row": 57, "task": "Atari Games", "value": "543504" }, { "column": 2, "dataset": "Atari 2600 Wizard of Wor", "metric": "Score", "model": "Advantage Learning", "row": 58, "task": "Atari Games", "value": "9541.14" }, { "column": 2, "dataset": "Atari 2600 Yars Revenge", "metric": "Score", "model": "Advantage Learning", "row": 59, "task": "Atari Games", "value": "24240.03" }, { "column": 2, "dataset": "Atari 2600 Zaxxon", "metric": "Score", "model": "Advantage Learning", "row": 60, "task": "Atari Games", "value": "9129.61" } ] } ]
1601.02129v2
[ { "index": 0, "records": [ { "column": 3, "dataset": "MEXaction2", "metric": "mAP", "model": "S-CNN", "row": 2, "task": "Temporal Action Localization", "value": "7.4" } ] }, { "index": 1, "records": [ { "column": 1, "dataset": "THUMOS’14", "metric": "mAP [email protected]", "model": "S-CNN", "row": 4, "task": "Temporal Action Localization", "value": "47.7" }, { "column": 2, "dataset": "THUMOS’14", "metric": "mAP [email protected]", "model": "S-CNN", "row": 4, "task": "Temporal Action Localization", "value": "43.5" }, { "column": 3, "dataset": "THUMOS’14", "metric": "mAP [email protected]", "model": "S-CNN", "row": 4, "task": "Temporal Action Localization", "value": "36.3" }, { "column": 4, "dataset": "THUMOS’14", "metric": "mAP [email protected]", "model": "S-CNN", "row": 4, "task": "Temporal Action Localization", "value": "28.7" }, { "column": 5, "dataset": "THUMOS’14", "metric": "mAP [email protected]", "model": "S-CNN", "row": 4, "task": "Temporal Action Localization", "value": "19" } ] } ]
1602.04621v3
[ { "index": 0, "records": [ { "column": 3, "dataset": "Atari 2600 Alien", "metric": "Score", "model": "Bootstrapped DQN", "row": 1, "task": "Atari Games", "value": "2436.6" }, { "column": 3, "dataset": "Atari 2600 Amidar", "metric": "Score", "model": "Bootstrapped DQN", "row": 2, "task": "Atari Games", "value": "1272.5" }, { "column": 3, "dataset": "Atari 2600 Assault", "metric": "Score", "model": "Bootstrapped DQN", "row": 3, "task": "Atari Games", "value": "8047.1" }, { "column": 3, "dataset": "Atari 2600 Asterix", "metric": "Score", "model": "Bootstrapped DQN", "row": 4, "task": "Atari Games", "value": "19713.2" }, { "column": 3, "dataset": "Atari 2600 Asteroids", "metric": "Score", "model": "Bootstrapped DQN", "row": 5, "task": "Atari Games", "value": "1032" }, { "column": 3, "dataset": "Atari 2600 Atlantis", "metric": "Score", "model": "Bootstrapped DQN", "row": 6, "task": "Atari Games", "value": "994500" }, { "column": 3, "dataset": "Atari 2600 Bank Heist", "metric": "Score", "model": "Bootstrapped DQN", "row": 7, "task": "Atari Games", "value": "1208" }, { "column": 3, "dataset": "Atari 2600 Battle Zone", "metric": "Score", "model": "Bootstrapped DQN", "row": 8, "task": "Atari Games", "value": "38666.7" }, { "column": 3, "dataset": "Atari 2600 Beam Rider", "metric": "Score", "model": "Bootstrapped DQN", "row": 9, "task": "Atari Games", "value": "23429.8" }, { "column": 3, "dataset": "Atari 2600 Bowling", "metric": "Score", "model": "Bootstrapped DQN", "row": 10, "task": "Atari Games", "value": "60.2" }, { "column": 3, "dataset": "Atari 2600 Boxing", "metric": "Score", "model": "Bootstrapped DQN", "row": 11, "task": "Atari Games", "value": "93.2" }, { "column": 3, "dataset": "Atari 2600 Breakout", "metric": "Score", "model": "Bootstrapped DQN", "row": 12, "task": "Atari Games", "value": "855" }, { "column": 3, "dataset": "Atari 2600 Centipede", "metric": "Score", "model": "Bootstrapped DQN", "row": 13, "task": "Atari Games", "value": "4553.5" }, { "column": 3, "dataset": "Atari 2600 Chopper Command", "metric": "Score", "model": "Bootstrapped DQN", "row": 14, "task": "Atari Games", "value": "4100" }, { "column": 3, "dataset": "Atari 2600 Crazy Climber", "metric": "Score", "model": "Bootstrapped DQN", "row": 15, "task": "Atari Games", "value": "137925.9" }, { "column": 3, "dataset": "Atari 2600 Demon Attack", "metric": "Score", "model": "Bootstrapped DQN", "row": 16, "task": "Atari Games", "value": "82610" }, { "column": 3, "dataset": "Atari 2600 Double Dunk", "metric": "Score", "model": "Bootstrapped DQN", "row": 17, "task": "Atari Games", "value": "3" }, { "column": 3, "dataset": "Atari 2600 Enduro", "metric": "Score", "model": "Bootstrapped DQN", "row": 18, "task": "Atari Games", "value": "1591" }, { "column": 3, "dataset": "Atari 2600 Fishing Derby", "metric": "Score", "model": "Bootstrapped DQN", "row": 19, "task": "Atari Games", "value": "26" }, { "column": 3, "dataset": "Atari 2600 Freeway", "metric": "Score", "model": "Bootstrapped DQN", "row": 20, "task": "Atari Games", "value": "33.9" }, { "column": 3, "dataset": "Atari 2600 Frostbite", "metric": "Score", "model": "Bootstrapped DQN", "row": 21, "task": "Atari Games", "value": "2181.4" }, { "column": 3, "dataset": "Atari 2600 Gopher", "metric": "Score", "model": "Bootstrapped DQN", "row": 22, "task": "Atari Games", "value": "17438.4" }, { "column": 3, "dataset": "Atari 2600 Gravitar", "metric": "Score", "model": "Bootstrapped DQN", "row": 23, "task": "Atari Games", "value": "286.1" }, { "column": 3, "dataset": "Atari 2600 HERO", "metric": "Score", "model": "Bootstrapped DQN", "row": 24, "task": "Atari Games", "value": "21021.3" }, { "column": 3, "dataset": "Atari 2600 Ice Hockey", "metric": "Score", "model": "Bootstrapped DQN", "row": 25, "task": "Atari Games", "value": "-1.3" }, { "column": 3, "dataset": "Atari 2600 James Bond", "metric": "Score", "model": "Bootstrapped DQN", "row": 26, "task": "Atari Games", "value": "1663.5" }, { "column": 3, "dataset": "Atari 2600 Kangaroo", "metric": "Score", "model": "Bootstrapped DQN", "row": 27, "task": "Atari Games", "value": "14862.5" }, { "column": 3, "dataset": "Atari 2600 Krull", "metric": "Score", "model": "Bootstrapped DQN", "row": 28, "task": "Atari Games", "value": "8627.9" }, { "column": 3, "dataset": "Atari 2600 Kung-Fu Master", "metric": "Score", "model": "Bootstrapped DQN", "row": 29, "task": "Atari Games", "value": "36733.3" }, { "column": 3, "dataset": "Atari 2600 Montezuma's Revenge", "metric": "Score", "model": "Bootstrapped DQN", "row": 30, "task": "Atari Games", "value": "100" }, { "column": 3, "dataset": "Atari 2600 Ms. Pacman", "metric": "Score", "model": "Bootstrapped DQN", "row": 31, "task": "Atari Games", "value": "2983.3" }, { "column": 3, "dataset": "Atari 2600 Name This Game", "metric": "Score", "model": "Bootstrapped DQN", "row": 32, "task": "Atari Games", "value": "11501.1" }, { "column": 3, "dataset": "Atari 2600 Pong", "metric": "Score", "model": "Bootstrapped DQN", "row": 33, "task": "Atari Games", "value": "20.9" }, { "column": 3, "dataset": "Atari 2600 Private Eye", "metric": "Score", "model": "Bootstrapped DQN", "row": 34, "task": "Atari Games", "value": "1812.5" }, { "column": 3, "dataset": "Atari 2600 Q*Bert", "metric": "Score", "model": "Bootstrapped DQN", "row": 35, "task": "Atari Games", "value": "15092.7" }, { "column": 3, "dataset": "Atari 2600 River Raid", "metric": "Score", "model": "Bootstrapped DQN", "row": 36, "task": "Atari Games", "value": "12845" }, { "column": 3, "dataset": "Atari 2600 Road Runner", "metric": "Score", "model": "Bootstrapped DQN", "row": 37, "task": "Atari Games", "value": "51500" }, { "column": 3, "dataset": "Atari 2600 Robotank", "metric": "Score", "model": "Bootstrapped DQN", "row": 38, "task": "Atari Games", "value": "66.6" }, { "column": 3, "dataset": "Atari 2600 Seaquest", "metric": "Score", "model": "Bootstrapped DQN", "row": 39, "task": "Atari Games", "value": "9083.1" }, { "column": 3, "dataset": "Atari 2600 Space Invaders", "metric": "Score", "model": "Bootstrapped DQN", "row": 40, "task": "Atari Games", "value": "2893" }, { "column": 3, "dataset": "Atari 2600 Star Gunner", "metric": "Score", "model": "Bootstrapped DQN", "row": 41, "task": "Atari Games", "value": "55725" }, { "column": 3, "dataset": "Atari 2600 Tennis", "metric": "Score", "model": "Bootstrapped DQN", "row": 42, "task": "Atari Games", "value": "0" }, { "column": 3, "dataset": "Atari 2600 Time Pilot", "metric": "Score", "model": "Bootstrapped DQN", "row": 43, "task": "Atari Games", "value": "9079.4" }, { "column": 3, "dataset": "Atari 2600 Tutankham", "metric": "Score", "model": "Bootstrapped DQN", "row": 44, "task": "Atari Games", "value": "214.8" }, { "column": 3, "dataset": "Atari 2600 Up and Down", "metric": "Score", "model": "Bootstrapped DQN", "row": 45, "task": "Atari Games", "value": "26231" }, { "column": 3, "dataset": "Atari 2600 Venture", "metric": "Score", "model": "Bootstrapped DQN", "row": 46, "task": "Atari Games", "value": "212.5" }, { "column": 3, "dataset": "Atari 2600 Video Pinball", "metric": "Score", "model": "Bootstrapped DQN", "row": 47, "task": "Atari Games", "value": "811610" }, { "column": 3, "dataset": "Atari 2600 Wizard of Wor", "metric": "Score", "model": "Bootstrapped DQN", "row": 48, "task": "Atari Games", "value": "6804.7" }, { "column": 3, "dataset": "Atari 2600 Zaxxon", "metric": "Score", "model": "Bootstrapped DQN", "row": 49, "task": "Atari Games", "value": "11491.7" } ] } ]
1603.00550v3
[ { "index": 1, "records": [ { "column": 1, "dataset": "AWA - 0-Shot", "metric": "Accuracy", "model": "Synthesised Classifier", "row": 12, "task": "Few-Shot Image Classification", "value": "72.9%" }, { "column": 2, "dataset": "CUB-200-2011 - 0-Shot", "metric": "Top-1 Accuracy", "model": "Synthesised Classifier", "row": 12, "task": "Few-Shot Image Classification", "value": "54.7" }, { "column": 3, "dataset": "SUN - 0-Shot", "metric": "Accuracy", "model": "Synthesised Classifier", "row": 12, "task": "Few-Shot Image Classification", "value": "62.7%" }, { "column": 4, "dataset": "ImageNet - 0-Shot", "metric": "Accuracy", "model": "Synthesised Classifier", "row": 12, "task": "Few-Shot Image Classification", "value": "1.5%" } ] } ]
1603.01417v1
[ { "index": 2, "records": [ { "column": 1, "dataset": "VQA v1 test-dev", "metric": "Accuracy", "model": "DMN+", "row": 12, "task": "Visual Question Answering", "value": "60.3" }, { "column": 5, "dataset": "VQA v1 test-std", "metric": "Accuracy", "model": "DMN+", "row": 12, "task": "Visual Question Answering", "value": "60.4" } ] } ]
1603.08861v2
[ { "index": 2, "records": [ { "column": 1, "dataset": "Citeseer", "metric": "Accuracy", "model": "Planetoid-I", "row": 4, "task": "Node Classification", "value": "64.7" }, { "column": 3, "dataset": "Pubmed", "metric": "Accuracy", "model": "Planetoid-I", "row": 4, "task": "Node Classification", "value": "77.2" }, { "column": 2, "dataset": "Cora", "metric": "Accuracy", "model": "Planetoid-T", "row": 9, "task": "Node Classification", "value": "75.7" } ] }, { "index": 4, "records": [ { "column": 3, "dataset": "NELL", "metric": "Accuracy", "model": "Planetoid*", "row": 7, "task": "Node Classification", "value": "61.9" } ] } ]
1604.02129v2
[ { "index": 1, "records": [ { "column": 1, "dataset": "Horizon Lines in the Wild", "metric": "AUC (horizon error)", "model": "GoogleNet (Huber Loss, horizon line projection)", "row": 2, "task": "Horizon Line Estimation", "value": "71.16" }, { "column": 2, "dataset": "Eurasian Cities Dataset", "metric": "AUC (horizon error)", "model": "GoogleNet (Huber Loss, horizon line projection)", "row": 2, "task": "Horizon Line Estimation", "value": "83.6" }, { "column": 3, "dataset": "York Urban Dataset", "metric": "AUC (horizon error)", "model": "GoogleNet (Huber Loss, horizon line projection)", "row": 2, "task": "Horizon Line Estimation", "value": "86.41" } ] } ]
1604.03628v3
[ { "index": 2, "records": [ { "column": 1, "dataset": "Coil-20", "metric": "NMI", "model": "JULE-RC", "row": 14, "task": "Image Clustering", "value": "1" }, { "column": 2, "dataset": "coil-100", "metric": "NMI", "model": "JULE-RC", "row": 14, "task": "Image Clustering", "value": "0.985" }, { "column": 3, "dataset": "USPS", "metric": "NMI", "model": "JULE-RC", "row": 14, "task": "Image Clustering", "value": "0.913" }, { "column": 4, "dataset": "MNIST-test", "metric": "NMI", "model": "OURS-RC", "row": 14, "task": "Image Clustering", "value": "0.915" }, { "column": 5, "dataset": "MNIST-full", "metric": "NMI", "model": "JULE-RC", "row": 14, "task": "Image Clustering", "value": "0.913" }, { "column": 6, "dataset": "UMist", "metric": "NMI", "model": "JULE-RC", "row": 14, "task": "Image Clustering", "value": "0.877" }, { "column": 7, "dataset": "FRGC", "metric": "NMI", "model": "JULE-RC", "row": 14, "task": "Image Clustering", "value": "0.574" }, { "column": 8, "dataset": "CMU-PIE", "metric": "NMI", "model": "JULE-RC", "row": 14, "task": "Image Clustering", "value": "1.000" }, { "column": 9, "dataset": "YouTube Faces DB", "metric": "NMI", "model": "JULE-RC", "row": 14, "task": "Image Clustering", "value": "0.848" } ] } ]
1604.06573v2
[ { "index": 4, "records": [ { "column": 1, "dataset": "UCF101", "metric": "3-fold Accuracy", "model": "S:VGG-16, T:VGG-16", "row": 13, "task": "Action Recognition In Videos", "value": "92.5" }, { "column": 2, "dataset": "HMDB-51", "metric": "Average accuracy of 3 splits", "model": "S:VGG-16, T:VGG-16", "row": 13, "task": "Action Recognition In Videos", "value": "65.4" } ] } ]
1604.06778v3
[ { "index": 0, "records": [ { "column": 11, "dataset": "Cart-Pole Balancing", "metric": "Score", "model": "TRPO", "row": 1, "task": "Continuous Control", "value": "4869.8" }, { "column": 11, "dataset": "Inverted Pendulum", "metric": "Score", "model": "TRPO", "row": 2, "task": "Continuous Control", "value": "247.2" }, { "column": 11, "dataset": "Mountain Car", "metric": "Score", "model": "TRPO", "row": 3, "task": "Continuous Control", "value": "-61.7" }, { "column": 11, "dataset": "Acrobot", "metric": "Score", "model": "TRPO", "row": 4, "task": "Continuous Control", "value": "-326" }, { "column": 11, "dataset": "Double Inverted Pendulum", "metric": "Score", "model": "TRPO", "row": 5, "task": "Continuous Control", "value": "4412.4" }, { "column": 11, "dataset": "Swimmer", "metric": "Score", "model": "TRPO", "row": 6, "task": "Continuous Control", "value": "96" }, { "column": 11, "dataset": "Hopper", "metric": "Score", "model": "TRPO", "row": 7, "task": "Continuous Control", "value": "1183.3" }, { "column": 11, "dataset": "2D Walker", "metric": "Score", "model": "TRPO", "row": 8, "task": "Continuous Control", "value": "1353.8" }, { "column": 11, "dataset": "Half-Cheetah", "metric": "Score", "model": "TRPO", "row": 9, "task": "Continuous Control", "value": "1914" }, { "column": 11, "dataset": "Ant", "metric": "Score", "model": "TRPO", "row": 10, "task": "Continuous Control", "value": "730.2" }, { "column": 11, "dataset": "Simple Humanoid", "metric": "Score", "model": "TRPO", "row": 11, "task": "Continuous Control", "value": "269.7" }, { "column": 11, "dataset": "Full Humanoid", "metric": "Score", "model": "TRPO", "row": 12, "task": "Continuous Control", "value": "287" }, { "column": 11, "dataset": "Cart-Pole Balancing (limited sensors)", "metric": "Score", "model": "TRPO", "row": 13, "task": "Continuous Control", "value": "960.2" }, { "column": 11, "dataset": "Inverted Pendulum (limited sensors)", "metric": "Score", "model": "TRPO", "row": 14, "task": "Continuous Control", "value": "4.5" }, { "column": 11, "dataset": "Mountain Car (limited sensors)", "metric": "Score", "model": "TRPO", "row": 15, "task": "Continuous Control", "value": "-64.2" }, { "column": 11, "dataset": "Acrobot (limited sensors)", "metric": "Score", "model": "TRPO", "row": 16, "task": "Continuous Control", "value": "-83.3" }, { "column": 11, "dataset": "Cart-Pole Balancing (noisy observations)", "metric": "Score", "model": "TRPO", "row": 17, "task": "Continuous Control", "value": "606.2" }, { "column": 11, "dataset": "Inverted Pendulum (noisy observations)", "metric": "Score", "model": "TRPO", "row": 18, "task": "Continuous Control", "value": "10.4" }, { "column": 11, "dataset": "Mountain Car (noisy observations)", "metric": "Score", "model": "TRPO", "row": 19, "task": "Continuous Control", "value": "-60.2" }, { "column": 11, "dataset": "Acrobot (noisy observations)", "metric": "Score", "model": "TRPO", "row": 20, "task": "Continuous Control", "value": "-149.6" }, { "column": 11, "dataset": "Cart-Pole Balancing (system identifications)", "metric": "Score", "model": "TRPO", "row": 21, "task": "Continuous Control", "value": "980.3" }, { "column": 11, "dataset": "Inverted Pendulum (system identifications)", "metric": "Score", "model": "TRPO", "row": 22, "task": "Continuous Control", "value": "14.1" }, { "column": 11, "dataset": "Mountain Car (system identifications)", "metric": "Score", "model": "TRPO", "row": 23, "task": "Continuous Control", "value": "-61.6" }, { "column": 11, "dataset": "Acrobot (system identifications)", "metric": "Score", "model": "TRPO", "row": 24, "task": "Continuous Control", "value": "-170.9" }, { "column": 11, "dataset": "Swimmer + Gathering", "metric": "Score", "model": "TRPO", "row": 25, "task": "Continuous Control", "value": "0" }, { "column": 11, "dataset": "Ant + Gathering", "metric": "Score", "model": "TRPO", "row": 26, "task": "Continuous Control", "value": "-0.4" }, { "column": 11, "dataset": "Swimmer + Maze", "metric": "Score", "model": "TRPO", "row": 27, "task": "Continuous Control", "value": "0" }, { "column": 11, "dataset": "Ant + Maze", "metric": "Score", "model": "TRPO", "row": 28, "task": "Continuous Control", "value": "0" } ] } ]
1605.02097v2
[ { "index": 1, "records": [ { "column": 1, "dataset": "ViZDoom Basic Scenario", "metric": "Average Score", "model": "DQN", "row": 6, "task": "Game of Doom", "value": "82.2" } ] } ]
1605.05395v1
[ { "index": 0, "records": [ { "column": 2, "dataset": "CUB-200-2011 - 0-Shot", "metric": "Top-1 Accuracy", "model": "Word CNN-RNN (DS-SJE Embedding)", "row": 10, "task": "Few-Shot Image Classification", "value": "56.8%" }, { "column": 4, "dataset": "CUB-200-2011 - 0-Shot", "metric": "AP50", "model": "Word CNN-RNN (DS-SJE Embedding)", "row": 10, "task": "Few-Shot Image Classification", "value": "48.7" } ] }, { "index": 1, "records": [ { "column": 2, "dataset": "Flowers-102 - 0-Shot", "metric": "Accuracy", "model": "Word CNN-RNN (DS-SJE Embedding)", "row": 9, "task": "Few-Shot Image Classification", "value": "65.6%" }, { "column": 4, "dataset": "Flowers-102 - 0-Shot", "metric": "AP50", "model": "Word CNN-RNN (DS-SJE Embedding)", "row": 9, "task": "Few-Shot Image Classification", "value": "59.6" } ] } ]
1605.07651v3
[ { "index": 1, "records": [ { "column": 22, "dataset": "PASCAL VOC 2007", "metric": "MAP", "model": "Self-Paced Learning", "row": 12, "task": "Weakly Supervised Object Detection", "value": "38.11" } ] } ]
1605.08140v3
[ { "index": 0, "records": [ { "column": 1, "dataset": "DogCentric", "metric": "Accuracy", "model": "Sub-events (temporal filters + LSTM)", "row": 8, "task": "Activity Recognition In Videos", "value": "81.4" } ] }, { "index": 2, "records": [ { "column": 1, "dataset": "COIN", "metric": "Accuracy", "model": "Ours (temporal filters) - TDD", "row": 11, "task": "Video Classification", "value": "68.4" }, { "column": 1, "dataset": "HMDB-51", "metric": "Average accuracy of 3 splits", "model": "Sub-events", "row": 11, "task": "Action Recognition In Videos", "value": "68.4" } ] } ]
1606.00061v5
[ { "index": 0, "records": [ { "column": 5, "dataset": "COCO Visual Question Answering (VQA) real images 1.0 open ended", "metric": "Percentage correct", "model": "HQI+ResNet", "row": 11, "task": "Visual Question Answering", "value": "62.1" }, { "column": 10, "dataset": "COCO Visual Question Answering (VQA) real images 1.0 multiple choice", "metric": "Percentage correct", "model": "HQI+ResNet", "row": 11, "task": "Visual Question Answering", "value": "66.1" } ] } ]
1606.01847v3
[ { "index": 2, "records": [ { "column": 7, "dataset": "Visual7W", "metric": "Percentage correct", "model": "MCB+Att.", "row": 3, "task": "Visual Question Answering", "value": "62.2" } ] }, { "index": 3, "records": [ { "column": 9, "dataset": "COCO Visual Question Answering (VQA) real images 1.0 open ended", "metric": "Percentage correct", "model": "MCB 7 att.", "row": 9, "task": "Visual Question Answering", "value": "66.5" }, { "column": 10, "dataset": "COCO Visual Question Answering (VQA) real images 1.0 multiple choice", "metric": "Percentage correct", "model": "MCB 7 att.", "row": 9, "task": "Visual Question Answering", "value": "70.1" } ] }, { "index": 4, "records": [ { "column": 1, "dataset": "Flickr30k Entities Test", "metric": "Accuracy", "model": "MCB", "row": 9, "task": "Phrase Grounding", "value": "48.69" } ] }, { "index": 5, "records": [ { "column": 1, "dataset": "ReferIt", "metric": "Accuracy", "model": "MCB", "row": 6, "task": "Phrase Grounding", "value": "28.91" } ] } ]
1606.02185v2
[ { "index": 0, "records": [ { "column": 6, "dataset": "OMNIGLOT - 1-Shot, 5-way", "metric": "Accuracy", "model": "Neural Statistician", "row": 4, "task": "Few-Shot Image Classification", "value": "98.1" }, { "column": 6, "dataset": "OMNIGLOT - 5-Shot, 5-way", "metric": "Accuracy", "model": "Neural Statistician", "row": 5, "task": "Few-Shot Image Classification", "value": "99.5" }, { "column": 6, "dataset": "OMNIGLOT - 1-Shot, 20-way", "metric": "Accuracy", "model": "Neural Statistician", "row": 6, "task": "Few-Shot Image Classification", "value": "93.2" }, { "column": 6, "dataset": "OMNIGLOT - 5-Shot, 20-way", "metric": "Accuracy", "model": "Neural Statistician", "row": 7, "task": "Few-Shot Image Classification", "value": "98.1" } ] } ]
1606.04080v2
[ { "index": 0, "records": [ { "column": 3, "dataset": "OMNIGLOT - 1-Shot, 5-way", "metric": "Accuracy", "model": "Matching Nets", "row": 9, "task": "Few-Shot Image Classification", "value": "98.1" }, { "column": 4, "dataset": "OMNIGLOT - 5-Shot, 5-way", "metric": "Accuracy", "model": "Matching Nets", "row": 9, "task": "Few-Shot Image Classification", "value": "98.9" }, { "column": 5, "dataset": "OMNIGLOT - 1-Shot, 20-way", "metric": "Accuracy", "model": "Matching Nets", "row": 9, "task": "Few-Shot Image Classification", "value": "93.8" }, { "column": 6, "dataset": "OMNIGLOT - 5-Shot, 20-way", "metric": "Accuracy", "model": "Matching Nets", "row": 9, "task": "Few-Shot Image Classification", "value": "98.5" } ] }, { "index": 1, "records": [ { "column": 3, "dataset": "Mini-Imagenet 5-way (1-shot)", "metric": "Accuracy", "model": "Matching Nets (Cosine Matching Fn)", "row": 9, "task": "Few-Shot Image Classification", "value": "46.6" }, { "column": 4, "dataset": "Mini-Imagenet 5-way (5-shot)", "metric": "Accuracy", "model": "Matching Nets (Cosine Matching Fn)", "row": 9, "task": "Few-Shot Image Classification", "value": "60" } ] } ]
1606.04582v6
[ { "index": 0, "records": [ { "column": 11, "dataset": "bAbi", "metric": "Mean Error Rate", "model": "QRN", "row": 4, "task": "Question Answering", "value": "0.3" } ] } ]
1606.06329v2
[ { "index": 0, "records": [ { "column": 1, "dataset": "JIGSAWS", "metric": "Accuracy", "model": "Bidir. LSTM", "row": 7, "task": "Surgical Skills Evaluation", "value": "0.833" }, { "column": 2, "dataset": "JIGSAWS", "metric": "Edit Distance", "model": "Bidir. LSTM", "row": 7, "task": "Surgical Skills Evaluation", "value": "14.6" }, { "column": 3, "dataset": "MISTIC-SIL", "metric": "Accuracy", "model": "Bidir. LSTM", "row": 7, "task": "Surgical Skills Evaluation", "value": "0.895" }, { "column": 4, "dataset": "MISTIC-SIL", "metric": "Edit Distance", "model": "Bidir. LSTM", "row": 7, "task": "Surgical Skills Evaluation", "value": "19.5" } ] } ]
1606.08921v3
[ { "index": 1, "records": [ { "column": 9, "dataset": "BSD200 sigma10", "metric": "PSNR", "model": "RED30", "row": 2, "task": "Grayscale Image Denoising", "value": "33.63" }, { "column": 9, "dataset": "BSD200 sigma30", "metric": "PSNR", "model": "RED30", "row": 3, "task": "Grayscale Image Denoising", "value": "27.95" }, { "column": 9, "dataset": "BSD200 sigma50", "metric": "PSNR", "model": "RED30", "row": 4, "task": "Grayscale Image Denoising", "value": "25.75" }, { "column": 9, "dataset": "BSD200 sigma70", "metric": "PSNR", "model": "RED30", "row": 5, "task": "Grayscale Image Denoising", "value": "24.37" }, { "column": 9, "dataset": "BSD200 sigma10", "metric": "SSIM", "model": "RED30", "row": 7, "task": "Grayscale Image Denoising", "value": "0.9319" }, { "column": 9, "dataset": "BSD200 sigma30", "metric": "SSIM", "model": "RED30", "row": 8, "task": "Grayscale Image Denoising", "value": "0.8019" }, { "column": 9, "dataset": "BSD200 sigma50", "metric": "SSIM", "model": "RED30", "row": 9, "task": "Grayscale Image Denoising", "value": "0.7167" }, { "column": 9, "dataset": "BSD200 sigma70", "metric": "SSIM", "model": "RED30", "row": 10, "task": "Grayscale Image Denoising", "value": "0.6551" } ] }, { "index": 3, "records": [ { "column": 9, "dataset": "Set5 - 2x upscaling", "metric": "PSNR", "model": "RED30", "row": 2, "task": "Image Super-Resolution", "value": "37.66" }, { "column": 9, "dataset": "Set5 - 3x upscaling", "metric": "PSNR", "model": "RED30", "row": 3, "task": "Image Super-Resolution", "value": "33.82" }, { "column": 9, "dataset": "Set5 - 4x upscaling", "metric": "PSNR", "model": "RED30", "row": 4, "task": "Image Super-Resolution", "value": "31.51" }, { "column": 9, "dataset": "Set5 - 2x upscaling", "metric": "SSIM", "model": "RED30", "row": 6, "task": "Image Super-Resolution", "value": "0.9599" }, { "column": 9, "dataset": "Set5 - 3x upscaling", "metric": "SSIM", "model": "RED30", "row": 7, "task": "Image Super-Resolution", "value": "0.923" }, { "column": 9, "dataset": "Set5 - 4x upscaling", "metric": "SSIM", "model": "RED30", "row": 8, "task": "Image Super-Resolution", "value": "0.8869" } ] }, { "index": 4, "records": [ { "column": 9, "dataset": "Set14 - 2x upscaling", "metric": "PSNR", "model": "RED30", "row": 2, "task": "Image Super-Resolution", "value": "32.94" }, { "column": 9, "dataset": "Set14 - 3x upscaling", "metric": "PSNR", "model": "RED30", "row": 3, "task": "Image Super-Resolution", "value": "29.61" }, { "column": 9, "dataset": "Set14 - 4x upscaling", "metric": "PSNR", "model": "RED30", "row": 4, "task": "Image Super-Resolution", "value": "27.86" }, { "column": 9, "dataset": "Set14 - 2x upscaling", "metric": "SSIM", "model": "RED30", "row": 6, "task": "Image Super-Resolution", "value": "0.9144" }, { "column": 9, "dataset": "Set14 - 3x upscaling", "metric": "SSIM", "model": "RED30", "row": 7, "task": "Image Super-Resolution", "value": "0.8341" }, { "column": 9, "dataset": "Set14 - 4x upscaling", "metric": "SSIM", "model": "RED30", "row": 8, "task": "Image Super-Resolution", "value": "0.7718" } ] }, { "index": 5, "records": [ { "column": 9, "dataset": "BSD100 - 2x upscaling", "metric": "PSNR", "model": "RED30", "row": 2, "task": "Image Super-Resolution", "value": "31.99" }, { "column": 9, "dataset": "BSD100 - 3x upscaling", "metric": "PSNR", "model": "RED30", "row": 3, "task": "Image Super-Resolution", "value": "28.93" }, { "column": 9, "dataset": "BSD100 - 4x upscaling", "metric": "PSNR", "model": "RED30", "row": 4, "task": "Image Super-Resolution", "value": "27.4" }, { "column": 9, "dataset": "BSD100 - 2x upscaling", "metric": "SSIM", "model": "RED30", "row": 6, "task": "Image Super-Resolution", "value": "0.8974" }, { "column": 9, "dataset": "BSD100 - 3x upscaling", "metric": "SSIM", "model": "RED30", "row": 7, "task": "Image Super-Resolution", "value": "0.7994" }, { "column": 9, "dataset": "BSD100 - 4x upscaling", "metric": "SSIM", "model": "RED30", "row": 8, "task": "Image Super-Resolution", "value": "0.729" } ] }, { "index": 8, "records": [ { "column": 6, "dataset": "LIVE1 Quality 10", "metric": "PSNR", "model": "RED30", "row": 1, "task": "Image Compression Artifact Reduction", "value": "29.35" }, { "column": 6, "dataset": "LIVE1 Quality 20", "metric": "PSNR", "model": "RED30", "row": 2, "task": "Image Compression Artifact Reduction", "value": "31.73" } ] } ]
1608.03981v1
[ { "index": 4, "records": [ { "column": 4, "dataset": "BSD68 sigma15", "metric": "PSNR", "model": "DnCNN-3", "row": 3, "task": "Color Image Denoising", "value": "31.46" }, { "column": 4, "dataset": "BSD68 sigma25", "metric": "PSNR", "model": "DnCNN-3", "row": 4, "task": "Color Image Denoising", "value": "29.02" }, { "column": 4, "dataset": "BSD68 sigma50", "metric": "PSNR", "model": "DnCNN-3", "row": 5, "task": "Color Image Denoising", "value": "26.1" }, { "column": 4, "dataset": "Set5 - 2x upscaling", "metric": "PSNR", "model": "DnCNN-3", "row": 9, "task": "Image Super-Resolution", "value": "37.58" }, { "column": 4, "dataset": "Set5 - 3x upscaling", "metric": "PSNR", "model": "DnCNN-3", "row": 10, "task": "Image Super-Resolution", "value": "33.75" }, { "column": 4, "dataset": "Set5 - 4x upscaling", "metric": "PSNR", "model": "DnCNN-3", "row": 11, "task": "Image Super-Resolution", "value": "31.4" }, { "column": 4, "dataset": "Set14 - 2x upscaling", "metric": "PSNR", "model": "DnCNN-3", "row": 12, "task": "Image Super-Resolution", "value": "33.03" }, { "column": 4, "dataset": "Set14 - 3x upscaling", "metric": "PSNR", "model": "DnCNN-3", "row": 13, "task": "Image Super-Resolution", "value": "29.81" }, { "column": 4, "dataset": "Set14 - 4x upscaling", "metric": "PSNR", "model": "DnCNN-3", "row": 14, "task": "Image Super-Resolution", "value": "28.04" }, { "column": 4, "dataset": "BSD100 - 2x upscaling", "metric": "PSNR", "model": "DnCNN-3", "row": 15, "task": "Image Super-Resolution", "value": "31.9" }, { "column": 4, "dataset": "BSD100 - 3x upscaling", "metric": "PSNR", "model": "DnCNN-3", "row": 16, "task": "Image Super-Resolution", "value": "28.85" }, { "column": 4, "dataset": "BSD100 - 4x upscaling", "metric": "PSNR", "model": "DnCNN-3", "row": 17, "task": "Image Super-Resolution", "value": "27.29" }, { "column": 4, "dataset": "Urban100 - 2x upscaling", "metric": "PSNR", "model": "DnCNN-3", "row": 18, "task": "Image Super-Resolution", "value": "30.74" }, { "column": 4, "dataset": "Urban100 - 3x upscaling", "metric": "PSNR", "model": "DnCNN-3", "row": 19, "task": "Image Super-Resolution", "value": "27.15" }, { "column": 4, "dataset": "Urban100 - 4x upscaling", "metric": "PSNR", "model": "DnCNN-3", "row": 20, "task": "Image Super-Resolution", "value": "25.2" }, { "column": 4, "dataset": "Classic5 Quality 10", "metric": "PSNR", "model": "DnCNN-3", "row": 24, "task": "Image Compression Artifact Reduction", "value": "29.4" }, { "column": 4, "dataset": "Classic5 Quality 20", "metric": "PSNR", "model": "DnCNN-3", "row": 25, "task": "Image Compression Artifact Reduction", "value": "31.63" }, { "column": 4, "dataset": "Classic5 Quality 30", "metric": "PSNR", "model": "DnCNN-3", "row": 26, "task": "Image Compression Artifact Reduction", "value": "32.91" }, { "column": 4, "dataset": "Classic5 Quality 40", "metric": "PSNR", "model": "DnCNN-3", "row": 27, "task": "Image Compression Artifact Reduction", "value": "33.77" }, { "column": 4, "dataset": "LIVE1 Quality 10", "metric": "PSNR", "model": "DnCNN-3", "row": 28, "task": "Image Compression Artifact Reduction", "value": "29.19" }, { "column": 4, "dataset": "LIVE1 Quality 20", "metric": "PSNR", "model": "DnCNN-3", "row": 29, "task": "Image Compression Artifact Reduction", "value": "31.59" }, { "column": 4, "dataset": "LIVE1 Quality 30", "metric": "PSNR", "model": "DnCNN-3", "row": 30, "task": "Image Compression Artifact Reduction", "value": "32.98" }, { "column": 4, "dataset": "LIVE1 Quality 40", "metric": "PSNR", "model": "DnCNN-3", "row": 31, "task": "Image Compression Artifact Reduction", "value": "33.96" } ] } ]
1608.05684v1
[ { "index": 1, "records": [ { "column": 1, "dataset": "York Urban Dataset", "metric": "AUC (horizon error)", "model": "CNN+FULL", "row": 6, "task": "Horizon Line Estimation", "value": "94.78" }, { "column": 2, "dataset": "Eurasian Cities Dataset", "metric": "AUC (horizon error)", "model": "CNN+FULL", "row": 6, "task": "Horizon Line Estimation", "value": "90.80" }, { "column": 3, "dataset": "Horizon Lines in the Wild", "metric": "AUC (horizon error)", "model": "CNN+FULL", "row": 6, "task": "Horizon Line Estimation", "value": "58.24" } ] } ]
1608.06019v1
[ { "index": 0, "records": [ { "column": 1, "dataset": "MNIST-to-MNIST-M", "metric": "Accuracy", "model": "DSN (DANN)", "row": 7, "task": "Domain Adaptation", "value": "83.2" }, { "column": 2, "dataset": "Synth Digits-to-SVHN", "metric": "Accuracy", "model": "DSN (DANN)", "row": 7, "task": "Domain Adaptation", "value": "91.2" }, { "column": 3, "dataset": "SVNH-to-MNIST", "metric": "Accuracy", "model": "DSN (DANN)", "row": 7, "task": "Domain Adaptation", "value": "82.7" }, { "column": 4, "dataset": "Synth Signs-to-GTSRB", "metric": "Accuracy", "model": "DSN (DANN)", "row": 7, "task": "Domain Adaptation", "value": "93.1" } ] }, { "index": 1, "records": [ { "column": 1, "dataset": "Synth Objects-to-LINEMOD", "metric": "Classification Accuracy", "model": "DSN (DANN)", "row": 5, "task": "Domain Adaptation", "value": "100" }, { "column": 2, "dataset": "Synth Objects-to-LINEMOD", "metric": "Mean Angle Error", "model": "DSN (DANN)", "row": 5, "task": "Domain Adaptation", "value": "53.27" } ] } ]
1608.06993v5
[ { "index": 1, "records": [ { "column": 7, "dataset": "SVHN", "metric": "Percentage error", "model": "DenseNet", "row": 18, "task": "Image Classification", "value": "1.59" }, { "column": 4, "dataset": "CIFAR-10", "metric": "Percentage error", "model": "DenseNet", "row": 21, "task": "Image Classification", "value": "3.46" }, { "column": 6, "dataset": "CIFAR-100", "metric": "Percentage error", "model": "DenseNet", "row": 21, "task": "Image Classification", "value": "17.18" } ] } ]
1609.01743v1
[ { "index": 5, "records": [ { "column": 8, "dataset": "MPII Human Pose", "metric": "PCKh-0.5", "model": "Part heatmap regression (ResNet-152)", "row": 1, "task": "Pose Estimation", "value": "89.7" } ] }, { "index": 6, "records": [ { "column": 8, "dataset": "Leeds Sports Poses", "metric": "PCK", "model": "Part heatmap regression (ResNet-152)", "row": 1, "task": "Pose Estimation", "value": "90.7" } ] } ]
1609.04802v5
[ { "index": 0, "records": [ { "column": 1, "dataset": "Set5 - 4x upscaling", "metric": "PSNR", "model": "SRResNet", "row": 2, "task": "Image Super-Resolution", "value": "32.05" }, { "column": 5, "dataset": "Set5 - 4x upscaling", "metric": "PSNR", "model": "SRGAN", "row": 2, "task": "Image Super-Resolution", "value": "29.4" }, { "column": 1, "dataset": "Set5 - 4x upscaling", "metric": "SSIM", "model": "SRResNet", "row": 3, "task": "Image Super-Resolution", "value": "0.9019" }, { "column": 5, "dataset": "Set5 - 4x upscaling", "metric": "SSIM", "model": "SRGAN", "row": 3, "task": "Image Super-Resolution", "value": "0.8472" }, { "column": 1, "dataset": "Set5 - 4x upscaling", "metric": "MOS", "model": "SRResNet", "row": 4, "task": "Image Super-Resolution", "value": "3.37" }, { "column": 5, "dataset": "Set5 - 4x upscaling", "metric": "MOS", "model": "SRGAN", "row": 4, "task": "Image Super-Resolution", "value": "3.58" }, { "column": 1, "dataset": "Set14 - 4x upscaling", "metric": "PSNR", "model": "SRResNet", "row": 6, "task": "Image Super-Resolution", "value": "28.49" }, { "column": 5, "dataset": "Set14 - 4x upscaling", "metric": "PSNR", "model": "SRGAN", "row": 6, "task": "Image Super-Resolution", "value": "26.02" }, { "column": 1, "dataset": "Set14 - 4x upscaling", "metric": "SSIM", "model": "SRResNet", "row": 7, "task": "Image Super-Resolution", "value": "0.8184" }, { "column": 5, "dataset": "Set14 - 4x upscaling", "metric": "SSIM", "model": "SRGAN", "row": 7, "task": "Image Super-Resolution", "value": "0.7397" }, { "column": 1, "dataset": "Set14 - 4x upscaling", "metric": "MOS", "model": "SRResNet", "row": 8, "task": "Image Super-Resolution", "value": "2.98" } ] }, { "index": 2, "records": [ { "column": 1, "dataset": "Set5 - 4x upscaling", "metric": "PSNR", "model": "nearest neighbors", "row": 1, "task": "Image Super-Resolution", "value": "26.26" }, { "column": 2, "dataset": "Set5 - 4x upscaling", "metric": "PSNR", "model": "bicubic", "row": 1, "task": "Image Super-Resolution", "value": "28.43" }, { "column": 1, "dataset": "Set5 - 4x upscaling", "metric": "SSIM", "model": "nearest neighbors", "row": 2, "task": "Image Super-Resolution", "value": "0.7552" }, { "column": 2, "dataset": "Set5 - 4x upscaling", "metric": "SSIM", "model": "bicubic", "row": 2, "task": "Image Super-Resolution", "value": "0.8211" }, { "column": 1, "dataset": "Set5 - 4x upscaling", "metric": "MOS", "model": "nearest neighbors", "row": 3, "task": "Image Super-Resolution", "value": "1.28" }, { "column": 2, "dataset": "Set5 - 4x upscaling", "metric": "MOS", "model": "bicubic", "row": 3, "task": "Image Super-Resolution", "value": "1.97" }, { "column": 1, "dataset": "Set14 - 4x upscaling", "metric": "PSNR", "model": "nearest neighbors", "row": 5, "task": "Image Super-Resolution", "value": "24.64" }, { "column": 2, "dataset": "Set14 - 4x upscaling", "metric": "PSNR", "model": "bicubic", "row": 5, "task": "Image Super-Resolution", "value": "25.99" }, { "column": 1, "dataset": "Set14 - 4x upscaling", "metric": "SSIM", "model": "nearest neighbors", "row": 6, "task": "Image Super-Resolution", "value": "0.71" }, { "column": 2, "dataset": "Set14 - 4x upscaling", "metric": "SSIM", "model": "bicubic", "row": 6, "task": "Image Super-Resolution", "value": "0.7486" }, { "column": 1, "dataset": "Set14 - 4x upscaling", "metric": "MOS", "model": "nearest neighbors", "row": 7, "task": "Image Super-Resolution", "value": "1.2" }, { "column": 2, "dataset": "Set14 - 4x upscaling", "metric": "MOS", "model": "bicubic", "row": 7, "task": "Image Super-Resolution", "value": "1.8" }, { "column": 8, "dataset": "Set14 - 4x upscaling", "metric": "MOS", "model": "SRGAN", "row": 7, "task": "Image Super-Resolution", "value": "3.72" }, { "column": 1, "dataset": "BSD100 - 4x upscaling", "metric": "PSNR", "model": "nearest neighbors", "row": 9, "task": "Image Super-Resolution", "value": "25.02" }, { "column": 2, "dataset": "BSD100 - 4x upscaling", "metric": "PSNR", "model": "bicubic", "row": 9, "task": "Image Super-Resolution", "value": "25.94" }, { "column": 7, "dataset": "BSD100 - 4x upscaling", "metric": "PSNR", "model": "SRResNet", "row": 9, "task": "Image Super-Resolution", "value": "27.58" }, { "column": 8, "dataset": "BSD100 - 4x upscaling", "metric": "PSNR", "model": "SRGAN", "row": 9, "task": "Image Super-Resolution", "value": "25.16" }, { "column": 1, "dataset": "BSD100 - 4x upscaling", "metric": "SSIM", "model": "nearest neighbors", "row": 10, "task": "Image Super-Resolution", "value": "0.6606" }, { "column": 2, "dataset": "BSD100 - 4x upscaling", "metric": "SSIM", "model": "bicubic", "row": 10, "task": "Image Super-Resolution", "value": "0.6935" }, { "column": 7, "dataset": "BSD100 - 4x upscaling", "metric": "SSIM", "model": "SRResNet", "row": 10, "task": "Image Super-Resolution", "value": "0.762" }, { "column": 8, "dataset": "BSD100 - 4x upscaling", "metric": "SSIM", "model": "SRGAN", "row": 10, "task": "Image Super-Resolution", "value": "0.6688" }, { "column": 1, "dataset": "BSD100 - 4x upscaling", "metric": "MOS", "model": "nearest neighbors", "row": 11, "task": "Image Super-Resolution", "value": "1.11" }, { "column": 2, "dataset": "BSD100 - 4x upscaling", "metric": "MOS", "model": "bicubic", "row": 11, "task": "Image Super-Resolution", "value": "1.47" }, { "column": 7, "dataset": "BSD100 - 4x upscaling", "metric": "MOS", "model": "SRResNet", "row": 11, "task": "Image Super-Resolution", "value": "2.29" }, { "column": 8, "dataset": "BSD100 - 4x upscaling", "metric": "MOS", "model": "SRGAN", "row": 11, "task": "Image Super-Resolution", "value": "3.56" } ] } ]
1611.01628v5
[ { "index": 4, "records": [ { "column": 5, "dataset": "allrecipes.com", "metric": "Perplexity", "model": "Latent Variable Model", "row": 6, "task": "Recipe Generation", "value": "4.97" }, { "column": 8, "dataset": "allrecipes.com", "metric": "BLEU", "model": "Latent Variable Model", "row": 6, "task": "Recipe Generation", "value": "15.41" } ] } ]
1611.02205v2
[ { "index": 2, "records": [ { "column": 1, "dataset": "F-Zero", "metric": "Score", "model": "DQN", "row": 1, "task": "SNES Games", "value": "3116" }, { "column": 2, "dataset": "F-Zero", "metric": "Score", "model": "D-DQN", "row": 1, "task": "SNES Games", "value": "3636" }, { "column": 3, "dataset": "F-Zero", "metric": "Score", "model": "Dueling D-DQN", "row": 1, "task": "SNES Games", "value": "5161" }, { "column": 1, "dataset": "Gradius III", "metric": "Score", "model": "DQN", "row": 2, "task": "SNES Games", "value": "7583" }, { "column": 2, "dataset": "Gradius III", "metric": "Score", "model": "D-DQN", "row": 2, "task": "SNES Games", "value": "12343" }, { "column": 3, "dataset": "Gradius III", "metric": "Score", "model": "Dueling D-DQN", "row": 2, "task": "SNES Games", "value": "16929" }, { "column": 1, "dataset": "Mortal Kombat", "metric": "Score", "model": "DQN", "row": 3, "task": "SNES Games", "value": "83733" }, { "column": 2, "dataset": "Mortal Kombat", "metric": "Score", "model": "D-DQN", "row": 3, "task": "SNES Games", "value": "56200" }, { "column": 3, "dataset": "Mortal Kombat", "metric": "Score", "model": "Dueling D-DQN", "row": 3, "task": "SNES Games", "value": "169300" }, { "column": 1, "dataset": "Super Mario", "metric": "Score", "model": "DQN", "row": 4, "task": "SNES Games", "value": "11765" }, { "column": 2, "dataset": "Super Mario", "metric": "Score", "model": "D-DQN", "row": 4, "task": "SNES Games", "value": "16946" }, { "column": 3, "dataset": "Super Mario", "metric": "Score", "model": "Dueling D-DQN", "row": 4, "task": "SNES Games", "value": "20030" }, { "column": 1, "dataset": "Wolfenstein", "metric": "Score", "model": "DQN", "row": 5, "task": "SNES Games", "value": "100" }, { "column": 2, "dataset": "Wolfenstein", "metric": "Score", "model": "D-DQN", "row": 5, "task": "SNES Games", "value": "83" }, { "column": 3, "dataset": "Wolfenstein", "metric": "Score", "model": "Dueling D-DQN", "row": 5, "task": "SNES Games", "value": "40" } ] } ]
1611.09978v1
[ { "index": 1, "records": [ { "column": 2, "dataset": "Visual Genome (subjects)", "metric": "Percentage correct", "model": "CMN", "row": 4, "task": "Visual Question Answering", "value": "44.24" }, { "column": 3, "dataset": "Visual Genome (pairs)", "metric": "Percentage correct", "model": "CMN", "row": 4, "task": "Visual Question Answering", "value": "28.52" } ] }, { "index": 4, "records": [ { "column": 1, "dataset": "Visual7W", "metric": "Percentage correct", "model": "CMN", "row": 4, "task": "Visual Question Answering", "value": "72.53" } ] } ]
1612.02903v1
[ { "index": 3, "records": [ { "column": 4, "dataset": "FER2013", "metric": "Accuracy", "model": "VGG", "row": 1, "task": "Facial Expression Recognition", "value": "72.7" }, { "column": 4, "dataset": "FER2013", "metric": "Accuracy", "model": "Inception", "row": 2, "task": "Facial Expression Recognition", "value": "71.6" }, { "column": 4, "dataset": "FER2013", "metric": "Accuracy", "model": "Res-Net", "row": 3, "task": "Facial Expression Recognition", "value": "72.4" } ] } ]
1612.03242v2
[ { "index": 0, "records": [ { "column": 4, "dataset": "CUB", "metric": "Inception score", "model": "StackGAN", "row": 1, "task": "Text-to-Image Generation", "value": "3.7" }, { "column": 4, "dataset": "Oxford 102 Flowers", "metric": "Inception score", "model": "StackGAN", "row": 2, "task": "Text-to-Image Generation", "value": "3.2" }, { "column": 4, "dataset": "COCO", "metric": "Inception score", "model": "StackGAN", "row": 3, "task": "Text-to-Image Generation", "value": "8.45" } ] } ]
1612.06371v2
[ { "index": 0, "records": [ { "column": 3, "dataset": "Charades", "metric": "MAP", "model": "Asyn-TF", "row": 6, "task": "Action Classification", "value": "22.4" } ] } ]
1703.01515v2
[ { "index": 1, "records": [ { "column": 1, "dataset": "THUMOS’14", "metric": "mAP [email protected]", "model": "CDC", "row": 13, "task": "Temporal Action Localization", "value": "40.1" }, { "column": 2, "dataset": "THUMOS’14", "metric": "mAP [email protected]", "model": "CDC", "row": 13, "task": "Temporal Action Localization", "value": "29.4" }, { "column": 3, "dataset": "THUMOS’14", "metric": "mAP [email protected]", "model": "CDC", "row": 13, "task": "Temporal Action Localization", "value": "23.3" }, { "column": 4, "dataset": "THUMOS’14", "metric": "mAP [email protected]", "model": "CDC", "row": 13, "task": "Temporal Action Localization", "value": "13.1" }, { "column": 5, "dataset": "THUMOS’14", "metric": "mAP [email protected]", "model": "CDC", "row": 13, "task": "Temporal Action Localization", "value": "7.9" } ] } ]
1703.02716v1
[ { "index": 7, "records": [ { "column": 1, "dataset": "ActivityNet-1.3", "metric": "mAP [email protected]", "model": "SSN", "row": 6, "task": "Temporal Action Localization", "value": "39.12" } ] } ]
1703.03129v1
[ { "index": 0, "records": [ { "column": 1, "dataset": "OMNIGLOT - 1-Shot, 5-way", "metric": "Accuracy", "model": "ConvNet with Memory Module", "row": 5, "task": "Few-Shot Image Classification", "value": "98.4" }, { "column": 2, "dataset": "OMNIGLOT - 5-Shot, 5-way", "metric": "Accuracy", "model": "ConvNet with Memory Module", "row": 5, "task": "Few-Shot Image Classification", "value": "99.6" }, { "column": 3, "dataset": "OMNIGLOT - 1-Shot, 20-way", "metric": "Accuracy", "model": "ConvNet with Memory Module", "row": 5, "task": "Few-Shot Image Classification", "value": "95" }, { "column": 4, "dataset": "OMNIGLOT - 5-Shot, 20-way", "metric": "Accuracy", "model": "ConvNet with Memory Module", "row": 5, "task": "Few-Shot Image Classification", "value": "98.6" } ] } ]
1703.05175v2
[ { "index": 0, "records": [ { "column": 3, "dataset": "OMNIGLOT - 1-Shot, 5-way", "metric": "Accuracy", "model": "Prototypical Networks", "row": 5, "task": "Few-Shot Image Classification", "value": "98.8" }, { "column": 4, "dataset": "OMNIGLOT - 5-Shot, 5-way", "metric": "Accuracy", "model": "Prototypical Networks", "row": 5, "task": "Few-Shot Image Classification", "value": "99.7" }, { "column": 5, "dataset": "OMNIGLOT - 1-Shot, 20-way", "metric": "Accuracy", "model": "Prototypical Networks", "row": 5, "task": "Few-Shot Image Classification", "value": "96" }, { "column": 6, "dataset": "OMNIGLOT - 5-Shot, 20-way", "metric": "Accuracy", "model": "Prototypical Networks", "row": 5, "task": "Few-Shot Image Classification", "value": "98.9" } ] }, { "index": 1, "records": [ { "column": 3, "dataset": "Mini-Imagenet 5-way (1-shot)", "metric": "Accuracy", "model": "Prototypical Networks", "row": 6, "task": "Few-Shot Image Classification", "value": "49.42" }, { "column": 4, "dataset": "Mini-Imagenet 5-way (5-shot)", "metric": "Accuracy", "model": "Prototypical Networks", "row": 6, "task": "Few-Shot Image Classification", "value": "68.20" } ] }, { "index": 2, "records": [ { "column": 2, "dataset": "CUB 200 50-way (0-shot)", "metric": "Accuracy", "model": "Prototypical Networks", "row": 7, "task": "Few-Shot Image Classification", "value": "54.6" } ] } ]
1703.06189v2
[ { "index": 2, "records": [ { "column": 1, "dataset": "THUMOS’14", "metric": "mAP [email protected]", "model": "TURN-FL-16 + S-CNN", "row": 8, "task": "Temporal Action Localization", "value": "54" }, { "column": 2, "dataset": "THUMOS’14", "metric": "mAP [email protected]", "model": "TURN-FL-16 + S-CNN", "row": 8, "task": "Temporal Action Localization", "value": "50.9" }, { "column": 3, "dataset": "THUMOS’14", "metric": "mAP [email protected]", "model": "TURN-FL-16 + S-CNN", "row": 8, "task": "Temporal Action Localization", "value": "44.1" }, { "column": 4, "dataset": "THUMOS’14", "metric": "mAP [email protected]", "model": "TURN-FL-16 + S-CNN", "row": 8, "task": "Temporal Action Localization", "value": "34.9" }, { "column": 5, "dataset": "THUMOS’14", "metric": "mAP [email protected]", "model": "TURN-FL-16 + S-CNN", "row": 8, "task": "Temporal Action Localization", "value": "25.6" } ] } ]
1703.06520v3
[ { "index": 0, "records": [ { "column": 1, "dataset": "ICDAR 2015", "metric": "Precision", "model": "SegLink", "row": 8, "task": "Scene Text Detection", "value": "73.1" }, { "column": 2, "dataset": "ICDAR 2015", "metric": "Recall", "model": "SegLink", "row": 8, "task": "Scene Text Detection", "value": "76.8" }, { "column": 3, "dataset": "ICDAR 2015", "metric": "F-Measure", "model": "SegLink", "row": 8, "task": "Scene Text Detection", "value": "75" } ] }, { "index": 1, "records": [ { "column": 1, "dataset": "MSRA-TD500", "metric": "Precision", "model": "SegLink", "row": 7, "task": "Scene Text Detection", "value": "86" }, { "column": 2, "dataset": "MSRA-TD500", "metric": "Recall", "model": "SegLink", "row": 7, "task": "Scene Text Detection", "value": "70" }, { "column": 3, "dataset": "MSRA-TD500", "metric": "F-Measure", "model": "SegLink", "row": 7, "task": "Scene Text Detection", "value": "77" } ] }, { "index": 2, "records": [ { "column": 1, "dataset": "ICDAR 2013", "metric": "Precision", "model": "SegLink", "row": 9, "task": "Scene Text Detection", "value": "87.7" }, { "column": 2, "dataset": "ICDAR 2013", "metric": "Recall", "model": "SegLink", "row": 9, "task": "Scene Text Detection", "value": "83" }, { "column": 3, "dataset": "ICDAR 2013", "metric": "F-Measure", "model": "SegLink", "row": 9, "task": "Scene Text Detection", "value": "85.3" } ] } ]
1703.07814v2
[ { "index": 0, "records": [ { "column": 1, "dataset": "THUMOS’14", "metric": "mAP [email protected]", "model": "R-C3D", "row": 13, "task": "Temporal Action Localization", "value": "54.5" }, { "column": 2, "dataset": "THUMOS’14", "metric": "mAP [email protected]", "model": "R-C3D", "row": 13, "task": "Temporal Action Localization", "value": "51.5" }, { "column": 3, "dataset": "THUMOS’14", "metric": "mAP [email protected]", "model": "R-C3D", "row": 13, "task": "Temporal Action Localization", "value": "44.8" }, { "column": 4, "dataset": "THUMOS’14", "metric": "mAP [email protected]", "model": "R-C3D", "row": 13, "task": "Temporal Action Localization", "value": "35.6" }, { "column": 5, "dataset": "THUMOS’14", "metric": "mAP [email protected]", "model": "R-C3D", "row": 13, "task": "Temporal Action Localization", "value": "28.9" } ] }, { "index": 2, "records": [ { "column": 2, "dataset": "ActivityNet-1.3", "metric": "mAP [email protected]", "model": "R-C3D", "row": 4, "task": "Temporal Action Localization", "value": "26.8" } ] }, { "index": 3, "records": [ { "column": 1, "dataset": "Charades", "metric": "mAP", "model": "R-C3D", "row": 7, "task": "Action Detection", "value": "12.4" } ] } ]
1703.07980v1
[ { "index": 2, "records": [ { "column": 8, "dataset": "MNIST-full", "metric": "Accuracy", "model": "DBC", "row": 1, "task": "Image Clustering", "value": "0.964" }, { "column": 8, "dataset": "MNIST-full", "metric": "NMI", "model": "DBC", "row": 2, "task": "Image Clustering", "value": "0.917" } ] }, { "index": 3, "records": [ { "column": 5, "dataset": "USPS", "metric": "Accuracy", "model": "DBC", "row": 1, "task": "Image Clustering", "value": "0.743" }, { "column": 5, "dataset": "USPS", "metric": "NMI", "model": "DBC", "row": 2, "task": "Image Clustering", "value": "0.724" } ] }, { "index": 4, "records": [ { "column": 4, "dataset": "Coil-20", "metric": "Accuracy", "model": "DBC", "row": 1, "task": "Image Clustering", "value": "0.793" }, { "column": 4, "dataset": "Coil-20", "metric": "NMI", "model": "DBC", "row": 2, "task": "Image Clustering", "value": "0.895" } ] }, { "index": 5, "records": [ { "column": 4, "dataset": "coil-100", "metric": "Accuracy", "model": "DBC", "row": 1, "task": "Image Clustering", "value": "0.775" }, { "column": 4, "dataset": "coil-100", "metric": "NMI", "model": "DBC", "row": 2, "task": "Image Clustering", "value": "0.905" } ] } ]
1703.10295v3
[ { "index": 8, "records": [ { "column": 3, "dataset": "PASCAL VOC 2007", "metric": "MAP", "model": "DeNet-101 (skip)", "row": 11, "task": "Object Detection", "value": "77.1" } ] } ]
1703.10316v4
[ { "index": 2, "records": [ { "column": 1, "dataset": "WN18", "metric": "MR", "model": "ParTransH", "row": 8, "task": "Link Prediction", "value": "215" }, { "column": 2, "dataset": "WN18 (filtered)", "metric": "MR", "model": "ParTransH", "row": 8, "task": "Link Prediction", "value": "203" }, { "column": 3, "dataset": "WN18", "metric": "Hits@10", "model": "ParTransH", "row": 8, "task": "Link Prediction", "value": "0.668" }, { "column": 4, "dataset": "WN18 (filtered)", "metric": "Hits@10", "model": "ParTransH", "row": 8, "task": "Link Prediction", "value": "76.6" }, { "column": 7, "dataset": "FB15k", "metric": "MR", "model": "ParTransH", "row": 8, "task": "Link Prediction", "value": "183" }, { "column": 8, "dataset": "FB15k (filtered)", "metric": "MR", "model": "ParTransH", "row": 8, "task": "Link Prediction", "value": "60" }, { "column": 9, "dataset": "FB15k", "metric": "Hits@10", "model": "ParTransH", "row": 8, "task": "Link Prediction", "value": "46.8" }, { "column": 10, "dataset": "FB15k (filtered)", "metric": "Hits@10", "model": "ParTransH", "row": 8, "task": "Link Prediction", "value": "65.7" } ] } ]
1703.10667v1
[ { "index": 4, "records": [ { "column": 1, "dataset": "UCF101", "metric": "3-fold Accuracy", "model": "TS-LSTM", "row": 10, "task": "Action Recognition In Videos", "value": "94.1" }, { "column": 2, "dataset": "HMDB-51", "metric": "Average accuracy of 3 splits", "model": "TS-LSTM", "row": 10, "task": "Action Recognition In Videos", "value": "69" } ] } ]
1704.02901v3
[ { "index": 0, "records": [ { "column": 1, "dataset": "Sydney Urban Objects", "metric": "F1", "model": "ECC", "row": 7, "task": "3D Point Cloud Classification", "value": "78.4" } ] }, { "index": 1, "records": [ { "column": 1, "dataset": "ModelNet10", "metric": "Accuracy", "model": "ECC (12 votes)", "row": 7, "task": "3D Object Classification", "value": "90" }, { "column": 2, "dataset": "ModelNet40", "metric": "Accuracy", "model": "ECC (12 votes)", "row": 7, "task": "3D Object Classification", "value": "83.2" } ] }, { "index": 3, "records": [ { "column": 1, "dataset": "NCI1", "metric": "Accuracy", "model": "ECC (5 scores)", "row": 9, "task": "Graph Classification", "value": "83.8" }, { "column": 2, "dataset": "NCI109", "metric": "Accuracy", "model": "ECC (5 scores)", "row": 9, "task": "Graph Classification", "value": "82.14" }, { "column": 3, "dataset": "MUTAG", "metric": "Accuracy", "model": "ECC (5 scores)", "row": 9, "task": "Graph Classification", "value": "88.33" }, { "column": 4, "dataset": "ENZYMES", "metric": "Accuracy", "model": "ECC (5 scores)", "row": 9, "task": "Graph Classification", "value": "52.67" }, { "column": 5, "dataset": "D&D", "metric": "Accuracy", "model": "ECC (5 scores)", "row": 9, "task": "Graph Classification", "value": "74.1" } ] } ]
1704.03155v2
[ { "index": 2, "records": [ { "column": 1, "dataset": "ICDAR 2015", "metric": "Recall", "model": "EAST + PVANET2x RBOX (multi-scale)", "row": 1, "task": "Scene Text Detection", "value": "78.33" }, { "column": 2, "dataset": "ICDAR 2015", "metric": "Precision", "model": "EAST + PVANET2x RBOX (multi-scale)", "row": 1, "task": "Scene Text Detection", "value": "83.27" }, { "column": 3, "dataset": "ICDAR 2015", "metric": "F-Measure", "model": "EAST + PVANET2x RBOX (multi-scale)", "row": 1, "task": "Scene Text Detection", "value": "80.72" }, { "column": 1, "dataset": "ICDAR 2015", "metric": "Recall", "model": "EAST + PVANET2x RBOX (single-scale)", "row": 2, "task": "Scene Text Detection", "value": "73.47" }, { "column": 2, "dataset": "ICDAR 2015", "metric": "Precision", "model": "EAST + PVANET2x RBOX (single-scale)", "row": 2, "task": "Scene Text Detection", "value": "83.57" }, { "column": 3, "dataset": "ICDAR 2015", "metric": "F-Measure", "model": "EAST + PVANET2x RBOX (single-scale)", "row": 2, "task": "Scene Text Detection", "value": "78.2" } ] }, { "index": 3, "records": [ { "column": 1, "dataset": "COCO-Text", "metric": "Recall", "model": "EAST + VGG16", "row": 1, "task": "Scene Text Detection", "value": "32.4" }, { "column": 2, "dataset": "COCO-Text", "metric": "Precision", "model": "EAST + VGG16", "row": 1, "task": "Scene Text Detection", "value": "50.39" }, { "column": 3, "dataset": "COCO-Text", "metric": "F-Measure", "model": "EAST + VGG16", "row": 1, "task": "Scene Text Detection", "value": "39.45" } ] }, { "index": 4, "records": [ { "column": 1, "dataset": "MSRA-TD500", "metric": "Recall", "model": "EAST + PVANET2x", "row": 1, "task": "Scene Text Detection", "value": "67.43" }, { "column": 2, "dataset": "MSRA-TD500", "metric": "Precision", "model": "EAST + PVANET2x", "row": 1, "task": "Scene Text Detection", "value": "87.28" }, { "column": 3, "dataset": "MSRA-TD500", "metric": "F-Measure", "model": "EAST + PVANET2x", "row": 1, "task": "Scene Text Detection", "value": "76.08" } ] } ]
1704.03162v2
[ { "index": 1, "records": [ { "column": 4, "dataset": "VQA v1 test-dev", "metric": "Accuracy", "model": "SAAA (ResNet)", "row": 13, "task": "Visual Question Answering", "value": "64.5" }, { "column": 8, "dataset": "VQA v1 test-std", "metric": "Accuracy", "model": "SAAA (ResNet)", "row": 13, "task": "Visual Question Answering", "value": "64.6" } ] } ]
1704.03264v1
[ { "index": 0, "records": [ { "column": 5, "dataset": "BSD68 sigma15", "metric": "PSNR", "model": "Deep CNN Denoiser", "row": 1, "task": "Grayscale Image Denoising", "value": "31.63" }, { "column": 5, "dataset": "BSD68 sigma25", "metric": "PSNR", "model": "Deep CNN Denoiser", "row": 2, "task": "Grayscale Image Denoising", "value": "29.15" }, { "column": 5, "dataset": "BSD68 sigma50", "metric": "PSNR", "model": "Deep CNN Denoiser", "row": 3, "task": "Grayscale Image Denoising", "value": "26.19" } ] }, { "index": 1, "records": [ { "column": 1, "dataset": "BSD68 sigma5", "metric": "PSNR", "model": "Deep CNN Denoiser", "row": 2, "task": "Color Image Denoising", "value": "40.36" }, { "column": 2, "dataset": "BSD68 sigma15", "metric": "PSNR", "model": "Deep CNN Denoiser", "row": 2, "task": "Color Image Denoising", "value": "33.86" }, { "column": 3, "dataset": "BSD68 sigma25", "metric": "PSNR", "model": "Deep CNN Denoiser", "row": 2, "task": "Color Image Denoising", "value": "31.16" }, { "column": 4, "dataset": "BSD68 sigma35", "metric": "PSNR", "model": "Deep CNN Denoiser", "row": 2, "task": "Color Image Denoising", "value": "29.5" }, { "column": 5, "dataset": "BSD68 sigma50", "metric": "PSNR", "model": "Deep CNN Denoiser", "row": 2, "task": "Color Image Denoising", "value": "27.86" } ] }, { "index": 4, "records": [ { "column": 11, "dataset": "Set5 - 2x upscaling", "metric": "PSNR", "model": "Deep CNN Denoiser", "row": 1, "task": "Image Super-Resolution", "value": "37.43" }, { "column": 11, "dataset": "Set5 - 2x upscaling", "metric": "PSNR", "model": "Deep CNN Denoiser", "row": 2, "task": "Image Super-Resolution", "value": "35.05" }, { "column": 11, "dataset": "Set5 - 3x upscaling", "metric": "PSNR", "model": "Deep CNN Denoiser", "row": 3, "task": "Image Super-Resolution", "value": "33.39" }, { "column": 11, "dataset": "Set5 - 3x upscaling", "metric": "PSNR", "model": "Deep CNN Denoiser", "row": 4, "task": "Image Super-Resolution", "value": "31.26" }, { "column": 11, "dataset": "Set5 - 4x upscaling", "metric": "PSNR", "model": "Deep CNN Denoiser", "row": 5, "task": "Image Super-Resolution", "value": "33.38" }, { "column": 11, "dataset": "Set5 - 4x upscaling", "metric": "PSNR", "model": "Deep CNN Denoiser", "row": 6, "task": "Image Super-Resolution", "value": "30.92" }, { "column": 11, "dataset": "Set14 - 2x upscaling", "metric": "PSNR", "model": "Deep CNN Denoiser", "row": 7, "task": "Image Super-Resolution", "value": "32.88" }, { "column": 11, "dataset": "Set14 - 2x upscaling", "metric": "PSNR", "model": "Deep CNN Denoiser", "row": 8, "task": "Image Super-Resolution", "value": "30.79" }, { "column": 11, "dataset": "Set14 - 3x upscaling", "metric": "PSNR", "model": "Deep CNN Denoiser", "row": 9, "task": "Image Super-Resolution", "value": "29.61" }, { "column": 11, "dataset": "Set14 - 3x upscaling", "metric": "PSNR", "model": "Deep CNN Denoiser", "row": 10, "task": "Image Super-Resolution", "value": "27.72" }, { "column": 11, "dataset": "Set14 - 4x upscaling", "metric": "PSNR", "model": "Deep CNN Denoiser", "row": 11, "task": "Image Super-Resolution", "value": "29.63" }, { "column": 11, "dataset": "Set14 - 4x upscaling", "metric": "PSNR", "model": "Deep CNN Denoiser", "row": 12, "task": "Image Super-Resolution", "value": "27.59" } ] } ]
1704.04516v1
[ { "index": 0, "records": [ { "column": 1, "dataset": "NTU RGB+D", "metric": "Accuracy (CS)", "model": "TCN", "row": 7, "task": "Skeleton Based Action Recognition", "value": "74.3" }, { "column": 2, "dataset": "NTU RGB+D", "metric": "Accuracy (CV)", "model": "TCN", "row": 7, "task": "Skeleton Based Action Recognition", "value": "83.1" } ] } ]
1704.04861v1
[ { "index": 3, "records": [ { "column": 1, "dataset": "ImageNet", "metric": "Top 1 Accuracy", "model": "MobileNet-224", "row": 3, "task": "Image Classification", "value": "70.6" } ] } ]
1704.05526v3
[ { "index": 3, "records": [ { "column": 2, "dataset": "VQA v2 test-dev", "metric": "Accuracy", "model": "N2NMN (ResNet-152, policy search)", "row": 6, "task": "Visual Question Answering", "value": "64.9" } ] } ]
1704.06228v2
[ { "index": 3, "records": [ { "column": 1, "dataset": "THUMOS’14", "metric": "[email protected]", "model": "SSN", "row": 9, "task": "Action Recognition In Videos", "value": "66.0" }, { "column": 2, "dataset": "THUMOS’14", "metric": "[email protected]", "model": "SSN", "row": 9, "task": "Action Recognition In Videos", "value": "59.4" }, { "column": 3, "dataset": "THUMOS’14", "metric": "[email protected]", "model": "SSN", "row": 9, "task": "Action Recognition In Videos", "value": "51.9" }, { "column": 4, "dataset": "THUMOS’14", "metric": "[email protected]", "model": "SSN", "row": 9, "task": "Action Recognition In Videos", "value": "41.0" }, { "column": 5, "dataset": "THUMOS’14", "metric": "[email protected]", "model": "SSN", "row": 9, "task": "Action Recognition In Videos", "value": "29.8" } ] } ]
1704.06326v2
[ { "index": 3, "records": [ { "column": 1, "dataset": "VOT2016", "metric": "Expected Average Overlap (EAO)", "model": "CFCF", "row": 1, "task": "Visual Object Tracking", "value": "0.3903" } ] } ]
1705.00835v1
[ { "index": 1, "records": [ { "column": 1, "dataset": "NTU RGB+D", "metric": "Accuracy (CV)", "model": "Five Spatial Skeleton Features", "row": 10, "task": "Skeleton Based Action Recognition", "value": "82.31" } ] } ]
1705.01180v1
[ { "index": 4, "records": [ { "column": 1, "dataset": "THUMOS’14", "metric": "mAP [email protected]", "model": "CBR-TS", "row": 6, "task": "Temporal Action Localization", "value": "60.1" }, { "column": 2, "dataset": "THUMOS’14", "metric": "mAP [email protected]", "model": "CBR-TS", "row": 6, "task": "Temporal Action Localization", "value": "56.7" }, { "column": 3, "dataset": "THUMOS’14", "metric": "mAP [email protected]", "model": "CBR-TS", "row": 6, "task": "Temporal Action Localization", "value": "50.1" }, { "column": 4, "dataset": "THUMOS’14", "metric": "mAP [email protected]", "model": "CBR-TS", "row": 6, "task": "Temporal Action Localization", "value": "41.3" }, { "column": 5, "dataset": "THUMOS’14", "metric": "mAP [email protected]", "model": "CBR-TS", "row": 6, "task": "Temporal Action Localization", "value": "31" }, { "column": 6, "dataset": "THUMOS’14", "metric": "mAP [email protected]", "model": "CBR-TS", "row": 6, "task": "Temporal Action Localization", "value": "19.1" }, { "column": 7, "dataset": "THUMOS’14", "metric": "mAP [email protected]", "model": "CBR-TS", "row": 6, "task": "Temporal Action Localization", "value": "9.9" } ] } ]
1705.06676v1
[ { "index": 3, "records": [ { "column": 4, "dataset": "VQA v2 test-dev", "metric": "Accuracy", "model": "MUTAN", "row": 12, "task": "Visual Question Answering", "value": "67.42" }, { "column": 8, "dataset": "VQA v2 test-std", "metric": "Accuracy", "model": "MUTAN", "row": 12, "task": "Visual Question Answering", "value": "67.36" } ] } ]
1705.07057v4
[ { "index": 0, "records": [ { "column": 1, "dataset": "UCI POWER", "metric": "Log-likelihood", "model": "MADE MoG", "row": 3, "task": "Density Estimation", "value": "0.4" }, { "column": 3, "dataset": "UCI GAS", "metric": "Log-likelihood", "model": "MADE MoG", "row": 3, "task": "Density Estimation", "value": "8.47" }, { "column": 5, "dataset": "UCI HEPMASS", "metric": "Log-likelihood", "model": "MADE MoG", "row": 3, "task": "Density Estimation", "value": "-15.15" }, { "column": 7, "dataset": "UCI MINIBOONE", "metric": "Log-likelihood", "model": "MADE MoG", "row": 3, "task": "Density Estimation", "value": "-12.27" }, { "column": 9, "dataset": "BSDS300", "metric": "Log-likelihood", "model": "MADE MoG", "row": 3, "task": "Density Estimation", "value": "153.71" } ] }, { "index": 1, "records": [ { "column": 1, "dataset": "MNIST", "metric": "Log-likelihood", "model": "MADE MoG", "row": 4, "task": "Density Estimation", "value": "-1038.5" }, { "column": 3, "dataset": "MNIST (Conditional)", "metric": "Log-likelihood", "model": "MADE MoG", "row": 4, "task": "Density Estimation", "value": "-1030.3" }, { "column": 5, "dataset": "CIFAR-10", "metric": "Log-likelihood", "model": "MAF", "row": 8, "task": "Density Estimation", "value": "3049" }, { "column": 7, "dataset": "CIFAR-10 (Conditional)", "metric": "Log-likelihood", "model": "MAF", "row": 8, "task": "Density Estimation", "value": "3058" } ] } ]
1705.07750v3
[ { "index": 4, "records": [ { "column": 2, "dataset": "HMDB-51", "metric": "Average accuracy of 3 splits", "model": "Two-stream I3D", "row": 17, "task": "Action Recognition In Videos", "value": "80.9" } ] } ]
1705.08039v2
[ { "index": 1, "records": [ { "column": 6, "dataset": "WordNet", "metric": "Accuracy", "model": "Poincare Embeddings (dim=10)", "row": 10, "task": "Link Prediction", "value": "68.3" }, { "column": 7, "dataset": "WordNet", "metric": "Accuracy", "model": "Poincare Embeddings (dim=20)", "row": 10, "task": "Link Prediction", "value": "74.3" }, { "column": 8, "dataset": "WordNet", "metric": "Accuracy", "model": "Poincare Embeddings (dim=50)", "row": 10, "task": "Link Prediction", "value": "77.0" }, { "column": 9, "dataset": "WordNet", "metric": "Accuracy", "model": "Poincare Embeddings (dim=100)", "row": 10, "task": "Link Prediction", "value": "77.4" } ] }, { "index": 2, "records": [ { "column": 8, "dataset": "HyperLex", "metric": "Spearman Correlation", "model": "Poincare Embeddings", "row": 1, "task": "Lexical Entailment", "value": "0.512" } ] } ]
1705.08421v4
[ { "index": 2, "records": [ { "column": 1, "dataset": "J-HMDB-21", "metric": "Frame-mAP", "model": "Faster-RCNN + two-stream I3D conv", "row": 5, "task": "Temporal Action Localization", "value": "73.3" }, { "column": 2, "dataset": "UCF101-24", "metric": "Frame-mAP", "model": "Faster-RCNN + two-stream I3D conv", "row": 5, "task": "Temporal Action Localization", "value": "76.3" } ] }, { "index": 3, "records": [ { "column": 1, "dataset": "J-HMDB-21", "metric": "Video-mAP 0.5", "model": "Faster-RCNN + two-stream I3D conv", "row": 5, "task": "Temporal Action Localization", "value": "78.6" }, { "column": 2, "dataset": "UCF101-24", "metric": "Video-mAP 0.5", "model": "Faster-RCNN + two-stream I3D conv", "row": 5, "task": "Temporal Action Localization", "value": "59.9" } ] } ]
1706.01789v2
[ { "index": 3, "records": [ { "column": 1, "dataset": "300W", "metric": "Mean Error Rate private", "model": "DAN-Menpo + inter-ocular normalization", "row": 7, "task": "Face Alignment", "value": "3.97" } ] } ]
1706.03466v3
[ { "index": 2, "records": [ { "column": 1, "dataset": "Mini-Imagenet 5-way (1-shot)", "metric": "Accuracy", "model": "Category-agnostic mapping WRN", "row": 7, "task": "Few-Shot Image Classification", "value": "59.60" }, { "column": 2, "dataset": "Mini-Imagenet 5-way (5-shot)", "metric": "Accuracy", "model": "Category-agnostic mapping WRN", "row": 7, "task": "Few-Shot Image Classification", "value": "73.74" } ] } ]
1706.06978v4
[ { "index": 2, "records": [ { "column": 1, "dataset": "MovieLens 20M", "metric": "AUC", "model": "DIN", "row": 7, "task": "Click-Through Rate Prediction", "value": "0.7337" }, { "column": 3, "dataset": "Amazon", "metric": "AUC", "model": "DIN", "row": 7, "task": "Click-Through Rate Prediction", "value": "0.8818" }, { "column": 1, "dataset": "MovieLens 20M", "metric": "AUC", "model": "DIN + Dice Activation", "row": 8, "task": "Click-Through Rate Prediction", "value": "0.7348" }, { "column": 3, "dataset": "Amazon", "metric": "AUC", "model": "DIN + Dice Activation", "row": 8, "task": "Click-Through Rate Prediction", "value": "0.8871" } ] } ]
1706.10295v3
[ { "index": 2, "records": [ { "column": 8, "dataset": "Atari 2600 Alien", "metric": "Score", "model": "NoisyNet-Dueling", "row": 1, "task": "Atari Games", "value": "5778" }, { "column": 8, "dataset": "Atari 2600 Amidar", "metric": "Score", "model": "NoisyNet-Dueling", "row": 2, "task": "Atari Games", "value": "3537" }, { "column": 8, "dataset": "Atari 2600 Assault", "metric": "Score", "model": "NoisyNet-Dueling", "row": 3, "task": "Atari Games", "value": "11231" }, { "column": 8, "dataset": "Atari 2600 Asterix", "metric": "Score", "model": "NoisyNet-Dueling", "row": 4, "task": "Atari Games", "value": "28350" }, { "column": 8, "dataset": "Atari 2600 Asteroids", "metric": "Score", "model": "NoisyNet-Dueling", "row": 5, "task": "Atari Games", "value": "86700" }, { "column": 8, "dataset": "Atari 2600 Atlantis", "metric": "Score", "model": "NoisyNet-Dueling", "row": 6, "task": "Atari Games", "value": "972175" }, { "column": 8, "dataset": "Atari 2600 Bank Heist", "metric": "Score", "model": "NoisyNet-Dueling", "row": 7, "task": "Atari Games", "value": "1318" }, { "column": 8, "dataset": "Atari 2600 Battle Zone", "metric": "Score", "model": "NoisyNet-Dueling", "row": 8, "task": "Atari Games", "value": "52262" }, { "column": 8, "dataset": "Atari 2600 Beam Rider", "metric": "Score", "model": "NoisyNet-Dueling", "row": 9, "task": "Atari Games", "value": "18501" }, { "column": 8, "dataset": "Atari 2600 Berzerk", "metric": "Score", "model": "NoisyNet-Dueling", "row": 10, "task": "Atari Games", "value": "1896" }, { "column": 8, "dataset": "Atari 2600 Beam Rider", "metric": "Score", "model": "NoisyNet-Dueling", "row": 11, "task": "Atari Games", "value": "68" }, { "column": 8, "dataset": "Atari 2600 Boxing", "metric": "Score", "model": "NoisyNet-Dueling", "row": 12, "task": "Atari Games", "value": "100" }, { "column": 8, "dataset": "Atari 2600 Breakout", "metric": "Score", "model": "NoisyNet-Dueling", "row": 13, "task": "Atari Games", "value": "263" }, { "column": 8, "dataset": "Atari 2600 Centipede", "metric": "Score", "model": "NoisyNet-Dueling", "row": 14, "task": "Atari Games", "value": "7596" }, { "column": 8, "dataset": "Atari 2600 Chopper Command", "metric": "Score", "model": "NoisyNet-Dueling", "row": 15, "task": "Atari Games", "value": "11477" }, { "column": 8, "dataset": "Atari 2600 Crazy Climber", "metric": "Score", "model": "NoisyNet-Dueling", "row": 16, "task": "Atari Games", "value": "171171" }, { "column": 8, "dataset": "Atari 2600 Defender", "metric": "Score", "model": "NoisyNet-Dueling", "row": 17, "task": "Atari Games", "value": "42253" }, { "column": 8, "dataset": "Atari 2600 Demon Attack", "metric": "Score", "model": "NoisyNet-Dueling", "row": 18, "task": "Atari Games", "value": "69311" }, { "column": 8, "dataset": "Atari 2600 Double Dunk", "metric": "Score", "model": "NoisyNet-Dueling", "row": 19, "task": "Atari Games", "value": "1" }, { "column": 8, "dataset": "Atari 2600 Enduro", "metric": "Score", "model": "NoisyNet-Dueling", "row": 20, "task": "Atari Games", "value": "2013" }, { "column": 8, "dataset": "Atari 2600 Fishing Derby", "metric": "Score", "model": "NoisyNet-Dueling", "row": 21, "task": "Atari Games", "value": "57" }, { "column": 8, "dataset": "Atari 2600 Freeway", "metric": "Score", "model": "NoisyNet-Dueling", "row": 22, "task": "Atari Games", "value": "34" }, { "column": 8, "dataset": "Atari 2600 Frostbite", "metric": "Score", "model": "NoisyNet-Dueling", "row": 23, "task": "Atari Games", "value": "2923" }, { "column": 8, "dataset": "Atari 2600 Gopher", "metric": "Score", "model": "NoisyNet-Dueling", "row": 24, "task": "Atari Games", "value": "38909" }, { "column": 8, "dataset": "Atari 2600 Gravitar", "metric": "Score", "model": "NoisyNet-Dueling", "row": 25, "task": "Atari Games", "value": "2209" }, { "column": 8, "dataset": "Atari 2600 HERO", "metric": "Score", "model": "NoisyNet-Dueling", "row": 26, "task": "Atari Games", "value": "31533" }, { "column": 8, "dataset": "Atari 2600 Ice Hockey", "metric": "Score", "model": "NoisyNet-Dueling", "row": 27, "task": "Atari Games", "value": "3" }, { "column": 8, "dataset": "Atari 2600 Beam Rider", "metric": "Score", "model": "NoisyNet-Dueling", "row": 28, "task": "Atari Games", "value": "4682" }, { "column": 8, "dataset": "Atari 2600 Kangaroo", "metric": "Score", "model": "NoisyNet-Dueling", "row": 29, "task": "Atari Games", "value": "15227" }, { "column": 8, "dataset": "Atari 2600 Krull", "metric": "Score", "model": "NoisyNet-Dueling", "row": 30, "task": "Atari Games", "value": "10754" }, { "column": 8, "dataset": "Atari 2600 Kung-Fu Master", "metric": "Score", "model": "NoisyNet-Dueling", "row": 31, "task": "Atari Games", "value": "41672" }, { "column": 8, "dataset": "Atari 2600 Montezuma's Revenge", "metric": "Score", "model": "NoisyNet-Dueling", "row": 32, "task": "Atari Games", "value": "57" }, { "column": 8, "dataset": "Atari 2600 Ms. Pacman", "metric": "Score", "model": "NoisyNet-Dueling", "row": 33, "task": "Atari Games", "value": "5546" }, { "column": 8, "dataset": "Atari 2600 Name This Game", "metric": "Score", "model": "NoisyNet-Dueling", "row": 34, "task": "Atari Games", "value": "12211" }, { "column": 8, "dataset": "Atari 2600 Phoenix", "metric": "Score", "model": "NoisyNet-Dueling", "row": 35, "task": "Atari Games", "value": "10379" }, { "column": 8, "dataset": "Atari 2600 Pitfall!", "metric": "Score", "model": "NoisyNet-Dueling", "row": 36, "task": "Atari Games", "value": "0" }, { "column": 8, "dataset": "Atari 2600 Pong", "metric": "Score", "model": "NoisyNet-Dueling", "row": 37, "task": "Atari Games", "value": "21" }, { "column": 8, "dataset": "Atari 2600 Private Eye", "metric": "Score", "model": "NoisyNet-Dueling", "row": 38, "task": "Atari Games", "value": "279" }, { "column": 8, "dataset": "Atari 2600 Q*Bert", "metric": "Score", "model": "NoisyNet-Dueling", "row": 39, "task": "Atari Games", "value": "27121" }, { "column": 8, "dataset": "Atari 2600 Beam Rider", "metric": "Score", "model": "NoisyNet-Dueling", "row": 40, "task": "Atari Games", "value": "23134" }, { "column": 8, "dataset": "Atari 2600 Road Runner", "metric": "Score", "model": "NoisyNet-Dueling", "row": 41, "task": "Atari Games", "value": "234352" }, { "column": 8, "dataset": "Atari 2600 Robotank", "metric": "Score", "model": "NoisyNet-Dueling", "row": 42, "task": "Atari Games", "value": "64" }, { "column": 8, "dataset": "Atari 2600 Seaquest", "metric": "Score", "model": "NoisyNet-Dueling", "row": 43, "task": "Atari Games", "value": "16754" }, { "column": 8, "dataset": "Atari 2600 Skiing", "metric": "Score", "model": "NoisyNet-Dueling", "row": 44, "task": "Atari Games", "value": "-7550" }, { "column": 8, "dataset": "Atari 2600 Solaris", "metric": "Score", "model": "NoisyNet-Dueling", "row": 45, "task": "Atari Games", "value": "6522" }, { "column": 8, "dataset": "Atari 2600 Space Invaders", "metric": "Score", "model": "NoisyNet-Dueling", "row": 46, "task": "Atari Games", "value": "5909" }, { "column": 8, "dataset": "Atari 2600 Star Gunner", "metric": "Score", "model": "NoisyNet-Dueling", "row": 47, "task": "Atari Games", "value": "75867" }, { "column": 8, "dataset": "Atari 2600 Surround", "metric": "Score", "model": "NoisyNet-Dueling", "row": 48, "task": "Atari Games", "value": "10" }, { "column": 8, "dataset": "Atari 2600 Tennis", "metric": "Score", "model": "NoisyNet-Dueling", "row": 49, "task": "Atari Games", "value": "0" }, { "column": 8, "dataset": "Atari 2600 Time Pilot", "metric": "Score", "model": "NoisyNet-Dueling", "row": 50, "task": "Atari Games", "value": "17301" }, { "column": 8, "dataset": "Atari 2600 Tutankham", "metric": "Score", "model": "NoisyNet-Dueling", "row": 51, "task": "Atari Games", "value": "269" }, { "column": 8, "dataset": "Atari 2600 Up and Down", "metric": "Score", "model": "NoisyNet-Dueling", "row": 52, "task": "Atari Games", "value": "61326" }, { "column": 8, "dataset": "Atari 2600 Venture", "metric": "Score", "model": "NoisyNet-Dueling", "row": 53, "task": "Atari Games", "value": "815" }, { "column": 8, "dataset": "Atari 2600 Video Pinball", "metric": "Score", "model": "NoisyNet-Dueling", "row": 54, "task": "Atari Games", "value": "870954" }, { "column": 8, "dataset": "Atari 2600 Wizard of Wor", "metric": "Score", "model": "NoisyNet-Dueling", "row": 55, "task": "Atari Games", "value": "9149" }, { "column": 8, "dataset": "Atari 2600 Yars Revenge", "metric": "Score", "model": "NoisyNet-Dueling", "row": 56, "task": "Atari Games", "value": "86101" }, { "column": 8, "dataset": "Atari 2600 Zaxxon", "metric": "Score", "model": "NoisyNet-Dueling", "row": 57, "task": "Atari Games", "value": "14874" } ] } ]
1707.02377v1
[ { "index": 0, "records": [ { "column": 2, "dataset": "IMDb", "metric": "Accuracy", "model": "Doc2VecC", "row": 8, "task": "Sentiment Analysis", "value": "88.3" } ] }, { "index": 5, "records": [ { "column": 1, "dataset": "SICK", "metric": "Pearson Correlation", "model": "Doc2VecC", "row": 12, "task": "Semantic Similarity", "value": "0.8381" }, { "column": 2, "dataset": "SICK", "metric": "Spearman Correlation", "model": "Doc2VecC", "row": 12, "task": "Semantic Similarity", "value": "0.7621" }, { "column": 3, "dataset": "SICK", "metric": "MSE", "model": "Doc2VecC", "row": 12, "task": "Semantic Similarity", "value": "0.3053" } ] } ]
1707.02921v1
[ { "index": 2, "records": [ { "column": 7, "dataset": "Set5 - 4x upscaling", "metric": "PSNR", "model": "EDSR", "row": 3, "task": "Image Super-Resolution", "value": "32.46" }, { "column": 7, "dataset": "Set14 - 4x upscaling", "metric": "PSNR", "model": "EDSR", "row": 6, "task": "Image Super-Resolution", "value": "28.8" }, { "column": 7, "dataset": "BSD100 - 4x upscaling", "metric": "PSNR", "model": "EDSR", "row": 9, "task": "Image Super-Resolution", "value": "27.71" }, { "column": 7, "dataset": "Urban100 - 4x upscaling", "metric": "PSNR", "model": "EDSR", "row": 12, "task": "Image Super-Resolution", "value": "26.64" } ] } ]
1707.02968v2
[ { "index": 0, "records": [ { "column": 1, "dataset": "ImageNet", "metric": "Top 1 Accuracy", "model": "ResNet-101 (JFT-300M Finetuning)", "row": 3, "task": "Image Classification", "value": "79.2" }, { "column": 2, "dataset": "ImageNet", "metric": "Top 5 Accuracy", "model": "ResNet-101 (JFT-300M Finetuning)", "row": 3, "task": "Image Classification", "value": "94.7" } ] }, { "index": 2, "records": [ { "column": 21, "dataset": "PASCAL VOC 2007", "metric": "Mean IoU", "model": "DeepLabv3 (ImageNet+300M)", "row": 3, "task": "Semantic Segmentation", "value": "81.3" } ] }, { "index": 12, "records": [ { "column": 1, "dataset": "COCO test-dev", "metric": "box AP", "model": "Faster R-CNN (ImageNet+300M)", "row": 3, "task": "Object Detection", "value": "37.4" }, { "column": 2, "dataset": "COCO test-dev", "metric": "AP50", "model": "Faster R-CNN (ImageNet+300M)", "row": 3, "task": "Object Detection", "value": "58" }, { "column": 3, "dataset": "COCO test-dev", "metric": "AP75", "model": "Faster R-CNN (ImageNet+300M)", "row": 3, "task": "Object Detection", "value": "40.1" }, { "column": 4, "dataset": "COCO test-dev", "metric": "APS", "model": "Faster R-CNN (ImageNet+300M)", "row": 3, "task": "Object Detection", "value": "17.5" }, { "column": 5, "dataset": "COCO test-dev", "metric": "APM", "model": "Faster R-CNN (ImageNet+300M)", "row": 3, "task": "Object Detection", "value": "41.1" }, { "column": 6, "dataset": "COCO test-dev", "metric": "APL", "model": "Faster R-CNN (ImageNet+300M)", "row": 3, "task": "Object Detection", "value": "51.2" } ] }, { "index": 13, "records": [ { "column": 1, "dataset": "PASCAL VOC 2012 val", "metric": "Mean IoU", "model": "DeepLabv3 (ImageNet+300M)", "row": 3, "task": "Semantic Segmentation", "value": "76.5" }, { "column": 1, "dataset": "PASCAL VOC 2012 val", "metric": "mIoU", "model": "DeepLabv3 (ImageNet+300M)", "row": 3, "task": "Semantic Segmentation", "value": "76.5" } ] }, { "index": 14, "records": [ { "column": 1, "dataset": "COCO test-dev", "metric": "AP", "model": "Faster R-CNN (ImageNet+300M)", "row": 4, "task": "Pose Estimation", "value": "64.4" }, { "column": 2, "dataset": "COCO test-dev", "metric": "AP50", "model": "Faster R-CNN (ImageNet+300M)", "row": 4, "task": "Pose Estimation", "value": "85.7" }, { "column": 3, "dataset": "COCO test-dev", "metric": "AP75", "model": "Faster R-CNN (ImageNet+300M)", "row": 4, "task": "Pose Estimation", "value": "70.7" }, { "column": 4, "dataset": "COCO test-dev", "metric": "APM", "model": "Faster R-CNN (ImageNet+300M)", "row": 4, "task": "Pose Estimation", "value": "61.8" }, { "column": 5, "dataset": "COCO test-dev", "metric": "APL", "model": "Faster R-CNN (ImageNet+300M)", "row": 4, "task": "Pose Estimation", "value": "69.8" } ] } ]
1707.03497v2
[ { "index": 1, "records": [ { "column": 1, "dataset": "Atari 2600 Frostbite", "metric": "Score", "model": "VPN", "row": 2, "task": "Atari Games", "value": "3811" }, { "column": 2, "dataset": "Atari 2600 Seaquest", "metric": "Score", "model": "VPN", "row": 2, "task": "Atari Games", "value": "5628" }, { "column": 3, "dataset": "Atari 2600 Enduro", "metric": "Score", "model": "VPN", "row": 2, "task": "Atari Games", "value": "382" }, { "column": 4, "dataset": "Atari 2600 Alien", "metric": "Score", "model": "VPN", "row": 2, "task": "Atari Games", "value": "1429" }, { "column": 5, "dataset": "Atari 2600 Q*Bert", "metric": "Score", "model": "VPN", "row": 2, "task": "Atari Games", "value": "14517" }, { "column": 6, "dataset": "Atari 2600 Ms. Pacman", "metric": "Score", "model": "VPN", "row": 2, "task": "Atari Games", "value": "2689" }, { "column": 7, "dataset": "Atari 2600 Amidar", "metric": "Score", "model": "VPN", "row": 2, "task": "Atari Games", "value": "641" }, { "column": 8, "dataset": "Atari 2600 Krull", "metric": "Score", "model": "VPN", "row": 2, "task": "Atari Games", "value": "15930" }, { "column": 9, "dataset": "Atari 2600 Crazy Climber", "metric": "Score", "model": "VPN", "row": 2, "task": "Atari Games", "value": "54119" } ] } ]
1707.03692v1
[ { "index": 0, "records": [ { "column": 2, "dataset": "MGB", "metric": "Accuracy", "model": "F-BLSTM", "row": 13, "task": "Hand Gesture Recognition", "value": "98.04" } ] }, { "index": 1, "records": [ { "column": 4, "dataset": "BUAA", "metric": "Accuracy", "model": "F-BGRU", "row": 9, "task": "Hand Gesture Recognition", "value": "99.25" } ] }, { "index": 2, "records": [ { "column": 4, "dataset": "SmartWatch", "metric": "Accuracy", "model": "F-BGRU", "row": 21, "task": "Hand Gesture Recognition", "value": "97.4" } ] } ]
1707.05005v1
[ { "index": 1, "records": [ { "column": 1, "dataset": "MUTAG", "metric": "Accuracy", "model": "Graph2Vec", "row": 5, "task": "Graph Classification", "value": "83.15" }, { "column": 2, "dataset": "PTC", "metric": "Accuracy", "model": "Graph2Vec", "row": 5, "task": "Graph Classification", "value": "60.17" }, { "column": 3, "dataset": "PROTEINS", "metric": "Accuracy", "model": "Graph2Vec", "row": 5, "task": "Graph Classification", "value": "73.3" }, { "column": 4, "dataset": "NCI1", "metric": "Accuracy", "model": "Graph2Vec", "row": 5, "task": "Graph Classification", "value": "73.22" }, { "column": 5, "dataset": "NCI109", "metric": "Accuracy", "model": "Graph2Vec", "row": 5, "task": "Graph Classification", "value": "74.26" } ] }, { "index": 3, "records": [ { "column": 1, "dataset": "Android Malware Dataset", "metric": "Accuracy", "model": "Graph2Vec", "row": 5, "task": "Malware Detection", "value": "99.03" } ] }, { "index": 4, "records": [ { "column": 1, "dataset": "Android Malware Dataset", "metric": "ARI", "model": "Graph2Vec", "row": 5, "task": "Malware Clustering", "value": "56.28" } ] } ]
1707.06690v3
[ { "index": 1, "records": [ { "column": 2, "dataset": "FB15k-237", "metric": "Mean AP", "model": "RL", "row": 13, "task": "Link Prediction", "value": "57.2" }, { "column": 7, "dataset": "NELL-995", "metric": "Mean AP", "model": "RL", "row": 13, "task": "Link Prediction", "value": "79.6" } ] } ]
1707.06887v1
[ { "index": 2, "records": [ { "column": 4, "dataset": "Atari 2600 Asterix", "metric": "Score", "model": "DDQN (tuned) noop", "row": 4, "task": "Atari Games", "value": "17356.5" }, { "column": 4, "dataset": "Atari 2600 Bowling", "metric": "Score", "model": "DDQN (tuned) noop", "row": 11, "task": "Atari Games", "value": "68.1" }, { "column": 4, "dataset": "Atari 2600 Pong", "metric": "Score", "model": "Bootstrapped DQN", "row": 37, "task": "Atari Games", "value": "20.9" }, { "column": 4, "dataset": "Atari 2600 Q*Bert", "metric": "Score", "model": "DDQN (tuned) noop", "row": 39, "task": "Atari Games", "value": "15088.5" } ] } ]
1707.07248v1
[ { "index": 0, "records": [ { "column": 1, "dataset": "ICVL Hands", "metric": "Average 3D Error", "model": "Tree Region Ensemble Network", "row": 6, "task": "Hand Pose Estimation", "value": "7.31" } ] }, { "index": 1, "records": [ { "column": 2, "dataset": "NYU Hands", "metric": "Average 3D Error", "model": "REN", "row": 6, "task": "Hand Pose Estimation", "value": "15.6" } ] }, { "index": 2, "records": [ { "column": 3, "dataset": " ITOP front-view", "metric": "Mean mAP", "model": "REN", "row": 11, "task": "Pose Estimation", "value": "84.9" }, { "column": 6, "dataset": "ITOP top-view", "metric": "Mean mAP", "model": "REN", "row": 11, "task": "Pose Estimation", "value": "75.5" } ] } ]
1707.07998v3
[ { "index": 4, "records": [ { "column": 4, "dataset": "VQA v2 test-std", "metric": "Accuracy", "model": "Up-Down", "row": 8, "task": "Visual Question Answering", "value": "70.34" } ] } ]
1707.09605v2
[ { "index": 0, "records": [ { "column": 1, "dataset": "ShanghaiTech A", "metric": "MAE", "model": "Proposed method", "row": 5, "task": "Crowd Counting", "value": "101.3" }, { "column": 2, "dataset": "ShanghaiTech A", "metric": "MSE", "model": "Proposed method", "row": 5, "task": "Crowd Counting", "value": "152.4" }, { "column": 3, "dataset": "ShanghaiTech B", "metric": "MAE", "model": "Cascaded-MTL", "row": 5, "task": "Crowd Counting", "value": "20" }, { "column": 4, "dataset": "ShanghaiTech B", "metric": "MSE", "model": "Proposed method", "row": 5, "task": "Crowd Counting", "value": "31.1" } ] }, { "index": 1, "records": [ { "column": 1, "dataset": "UCF CC 50", "metric": "MAE", "model": "Cascaded-MTL", "row": 6, "task": "Crowd Counting", "value": "322.8" }, { "column": 2, "dataset": "UCF CC 50", "metric": "MSE", "model": "Proposed method", "row": 6, "task": "Crowd Counting", "value": "397.9" } ] } ]
1708.02711v1
[ { "index": 2, "records": [ { "column": 1, "dataset": "VQA v2 test-dev", "metric": "Accuracy", "model": "Image features from bottom-up attention (adaptive K, ensemble)", "row": 16, "task": "Visual Question Answering", "value": "69.87" }, { "column": 5, "dataset": "VQA v2 test-std", "metric": "Accuracy", "model": "Image features from bottom-up attention (adaptive K, ensemble)", "row": 16, "task": "Visual Question Answering", "value": "70.34" } ] } ]
1708.06720v1
[ { "index": 1, "records": [ { "column": 1, "dataset": "ICDAR 2013", "metric": "Recall", "model": "WordSup (VGG16-synth-icdar)", "row": 7, "task": "Scene Text Detection", "value": "87.53" }, { "column": 2, "dataset": "ICDAR 2013", "metric": "Precision", "model": "WordSup (VGG16-synth-icdar)", "row": 7, "task": "Scene Text Detection", "value": "93.34" }, { "column": 3, "dataset": "ICDAR 2013", "metric": "F-Measure", "model": "WordSup (VGG16-synth-icdar)", "row": 7, "task": "Scene Text Detection", "value": "90.34" } ] }, { "index": 2, "records": [ { "column": 1, "dataset": "ICDAR 2015", "metric": "Recall", "model": "WordSup (VGG16-synth-icdar)", "row": 7, "task": "Scene Text Detection", "value": "77.03" }, { "column": 2, "dataset": "ICDAR 2015", "metric": "Precision", "model": "WordSup (VGG16-synth-icdar)", "row": 7, "task": "Scene Text Detection", "value": "79.33" }, { "column": 3, "dataset": "ICDAR 2015", "metric": "F-Measure", "model": "WordSup (VGG16-synth-icdar)", "row": 7, "task": "Scene Text Detection", "value": "78.16" } ] }, { "index": 3, "records": [ { "column": 1, "dataset": "COCO-Text", "metric": "Recall", "model": "WordSup (VGG16-synth-coco)", "row": 6, "task": "Scene Text Detection", "value": "30.9" }, { "column": 2, "dataset": "COCO-Text", "metric": "Precision", "model": "WordSup (VGG16-synth-coco)", "row": 6, "task": "Scene Text Detection", "value": "45.2" }, { "column": 3, "dataset": "COCO-Text", "metric": "F-Measure", "model": "WordSup (VGG16-synth-coco)", "row": 6, "task": "Scene Text Detection", "value": "36.8" } ] } ]
1709.00138v1
[ { "index": 2, "records": [ { "column": 1, "dataset": "ICDAR 2013", "metric": "Recall", "model": "SSTD", "row": 14, "task": "Scene Text Detection", "value": "86" }, { "column": 2, "dataset": "ICDAR 2013", "metric": "Precision", "model": "SSTD", "row": 14, "task": "Scene Text Detection", "value": "88" }, { "column": 3, "dataset": "ICDAR 2013", "metric": "F-Measure", "model": "SSTD", "row": 14, "task": "Scene Text Detection", "value": "87" }, { "column": 9, "dataset": "ICDAR 2015", "metric": "Recall", "model": "SSTD", "row": 14, "task": "Scene Text Detection", "value": "73" }, { "column": 10, "dataset": "ICDAR 2015", "metric": "Precision", "model": "SSTD", "row": 14, "task": "Scene Text Detection", "value": "80" }, { "column": 11, "dataset": "ICDAR 2015", "metric": "F-Measure", "model": "SSTD", "row": 14, "task": "Scene Text Detection", "value": "77" } ] }, { "index": 3, "records": [ { "column": 1, "dataset": "COCO-Text", "metric": "Recall", "model": "SSTD", "row": 6, "task": "Scene Text Detection", "value": "31" }, { "column": 2, "dataset": "COCO-Text", "metric": "Precision", "model": "SSTD", "row": 6, "task": "Scene Text Detection", "value": "46" }, { "column": 3, "dataset": "COCO-Text", "metric": "F-Measure", "model": "SSTD", "row": 6, "task": "Scene Text Detection", "value": "37" } ] } ]
1709.00503v2
[ { "index": 0, "records": [ { "column": 1, "dataset": "Cart Pole (OpenAI Gym)", "metric": "Score", "model": "MAC", "row": 5, "task": "Continuous Control", "value": "178.3" }, { "column": 2, "dataset": "Lunar Lander (OpenAI Gym)", "metric": "Score", "model": "MAC", "row": 5, "task": "Continuous Control", "value": "163.5" } ] }, { "index": 1, "records": [ { "column": 5, "dataset": "Atari 2600 Beam Rider", "metric": "Score", "model": "MAC", "row": 1, "task": "Atari Games", "value": "6072" }, { "column": 5, "dataset": "Atari 2600 Breakout", "metric": "Score", "model": "MAC", "row": 2, "task": "Atari Games", "value": "372.7" }, { "column": 5, "dataset": "Atari 2600 Pong", "metric": "Score", "model": "MAC", "row": 3, "task": "Atari Games", "value": "10.6" }, { "column": 5, "dataset": "Atari 2600 Q*Bert", "metric": "Score", "model": "MAC", "row": 4, "task": "Atari Games", "value": "243.4" }, { "column": 5, "dataset": "Atari 2600 Seaquest", "metric": "Score", "model": "MAC", "row": 5, "task": "Atari Games", "value": "1703.4" }, { "column": 5, "dataset": "Atari 2600 Space Invaders", "metric": "Score", "model": "MAC", "row": 6, "task": "Atari Games", "value": "1173.1" } ] } ]
1709.03272v4
[ { "index": 0, "records": [ { "column": 1, "dataset": "ICDAR 2015", "metric": "Precision", "model": "FTSN + MNMS", "row": 10, "task": "Scene Text Detection", "value": "88.6" }, { "column": 2, "dataset": "ICDAR 2015", "metric": "Recall", "model": "FTSN + MNMS", "row": 10, "task": "Scene Text Detection", "value": "80" }, { "column": 3, "dataset": "ICDAR 2015", "metric": "H-Mean", "model": "FTSN + MNMS", "row": 10, "task": "Scene Text Detection", "value": "84.1" } ] }, { "index": 1, "records": [ { "column": 1, "dataset": "MSRA-TD500", "metric": "Precision", "model": "FTSN + MNMS", "row": 8, "task": "Scene Text Detection", "value": "87.6" }, { "column": 2, "dataset": "MSRA-TD500", "metric": "Recall", "model": "FTSN + MNMS", "row": 8, "task": "Scene Text Detection", "value": "77.1" }, { "column": 3, "dataset": "MSRA-TD500", "metric": "H-Mean", "model": "FTSN + MNMS", "row": 8, "task": "Scene Text Detection", "value": "82" } ] }, { "index": 2, "records": [ { "column": 1, "dataset": "Total-Text", "metric": "Precision", "model": "FTSN", "row": 1, "task": "Scene Text Detection", "value": "84.7" }, { "column": 2, "dataset": "Total-Text", "metric": "Recall", "model": "FTSN", "row": 1, "task": "Scene Text Detection", "value": "78" }, { "column": 3, "dataset": "Total-Text", "metric": "H-Mean", "model": "FTSN", "row": 1, "task": "Scene Text Detection", "value": "81.3" } ] } ]
1709.03409v2
[ { "index": 3, "records": [ { "column": 2, "dataset": "Shoes", "metric": "R@1", "model": "EdgeMAC + whitening", "row": 13, "task": "Sketch-Based Image Retrieval", "value": "54.8" }, { "column": 3, "dataset": "Shoes", "metric": "R@10", "model": "EdgeMAC + whitening", "row": 13, "task": "Sketch-Based Image Retrieval", "value": "92.2" }, { "column": 4, "dataset": "Chairs", "metric": "R@1", "model": "EdgeMAC + whitening", "row": 13, "task": "Sketch-Based Image Retrieval", "value": "85.6" }, { "column": 5, "dataset": "Chairs", "metric": "R@10", "model": "EdgeMAC + whitening", "row": 13, "task": "Sketch-Based Image Retrieval", "value": "97.9" }, { "column": 6, "dataset": "Handbags", "metric": "R@1", "model": "EdgeMAC + whitening", "row": 13, "task": "Sketch-Based Image Retrieval", "value": "51.2" }, { "column": 7, "dataset": "Handbags", "metric": "R@10", "model": "EdgeMAC + whitening", "row": 13, "task": "Sketch-Based Image Retrieval", "value": "85.7" } ] } ]
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