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@@ -57,3 +57,25 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 # Video files - compressed
 *.mp4 filter=lfs diff=lfs merge=lfs -text
 *.webm filter=lfs diff=lfs merge=lfs -text
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default_detections/core19_model_based_seen/README.md

@@ -0,0 +1,30 @@
+
+# Default detections for Task 1 of BOP Challenge 2023
+
+The default detections are results of the top 2D detection method (GDRNPPDet) from BOP Challenge 2022 (https://arxiv.org/pdf/2302.13075.pdf).
+
+Below is a list of files with 2D detections for the seven core datasets together will URLs of the corresponding submissions from 2022.
+
+IMPORTANT: Use 2D detections from GDRNPPDet_PBRReal in order to qualify for "The Best Method Using Default Detections" award in BOP Challenge 2023.
+
+
+GDRNPPDet_PBRReal (https://bop.felk.cvut.cz/method_info/281/):
+
+GDRNPPDet_PBRReal/ITODD (https://bop.felk.cvut.cz/sub_info/2745/): gdrnppdet-pbrreal/gdrnppdet-pbrreal_itodd-test_9559c160-9507-4d09-94a5-ef0d6e8f22ce.json
+GDRNPPDet_PBRReal/YCB-V (https://bop.felk.cvut.cz/sub_info/2743/): gdrnppdet-pbrreal/gdrnppdet-pbrreal_ycbv-test_abe6c5f1-cb26-4bbd-addc-bb76dd722a96.json
+GDRNPPDet_PBRReal/TUD-L (https://bop.felk.cvut.cz/sub_info/2744/): gdrnppdet-pbrreal/gdrnppdet-pbrreal_tudl-test_66fd26f1-bebf-493b-a42a-d71e8d10c479.json
+GDRNPPDet_PBRReal/IC-BIN (https://bop.felk.cvut.cz/sub_info/2746/): gdrnppdet-pbrreal/gdrnppdet-pbrreal_icbin-test_a46668ed-f76b-40ca-9954-708b198c2ab0.json
+GDRNPPDet_PBRReal/HB (https://bop.felk.cvut.cz/sub_info/2747/): gdrnppdet-pbrreal/gdrnppdet-pbrreal_hb-test_94485f5a-98ea-48f1-9472-06f4ceecad41.json
+GDRNPPDet_PBRReal/T-LESS (https://bop.felk.cvut.cz/sub_info/2748/): gdrnppdet-pbrreal/gdrnppdet-pbrreal_tless-test_e112ecb4-7f56-4107-8a21-945bc7661267.json
+GDRNPPDet_PBRReal/LM-O (https://bop.felk.cvut.cz/sub_info/2749/): gdrnppdet-pbrreal/gdrnppdet-pbrreal_lmo-test_202a2f15-cbd0-49df-90de-650428c6d157.json
+
+
+GDRNPPDet_PBR (https://bop.felk.cvut.cz/method_info/280/)
+
+GDRNPPDet_PBR/ITODD (https://bop.felk.cvut.cz/sub_info/2740/): gdrnppdet-pbr/gdrnppdet-pbr_itodd-test_50b363ca-a982-4fa9-ad65-dc61073dddff.json
+GDRNPPDet_PBR/YCB-V (https://bop.felk.cvut.cz/sub_info/2736/): gdrnppdet-pbr/gdrnppdet-pbr_ycbv-test_cfa8a0cb-5ebe-45d9-b9ba-1fd53633ca01.json
+GDRNPPDet_PBR/TUD-L (https://bop.felk.cvut.cz/sub_info/2735/): gdrnppdet-pbr/gdrnppdet-pbr_tudl-test_145e1483-1a20-4942-8b6f-6e640a75efc9.json
+GDRNPPDet_PBR/IC-BIN (https://bop.felk.cvut.cz/sub_info/2739/): gdrnppdet-pbr/gdrnppdet-pbr_icbin-test_80434807-4692-4227-90bb-70212f3e8e66.json
+GDRNPPDet_PBR/HB (https://bop.felk.cvut.cz/sub_info/2738/): gdrnppdet-pbr/gdrnppdet-pbr_hb-test_1dc4cff1-d662-43ab-b863-3d9ce0f7e57c.json
+GDRNPPDet_PBR/T-LESS (https://bop.felk.cvut.cz/sub_info/2741/): gdrnppdet-pbr/gdrnppdet-pbr_tless-test_bed88a8e-1e0e-405b-8c62-8e7b83cf8934.json
+GDRNPPDet_PBR/LM-O (https://bop.felk.cvut.cz/sub_info/2742/): gdrnppdet-pbr/gdrnppdet-pbr_lmo-test_468338cf-4416-4142-9bba-34e5fba4eb86.json

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default_detections/core19_model_based_unseen/README.md

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+
+# Default detections/segmentations for Task 4 of BOP Challenge 2023
+
+The default detections/segmentations are results of CNOS (https://github.com/nv-nguyen/cnos), a strong baseline for CAD-based novel object segmentation prepared by Van Nguyen Nguyen et al. (https://nv-nguyen.github.io/) for Tasks 5 and 6 of BOP Challenge 2023.
+
+Below is a list of files with 2D detections/segmentations for the seven core datasets together will URLs of the corresponding submissions.
+
+
+CNOS (FastSAM) (https://bop.felk.cvut.cz/method_info/370/):
+
+CNOS (FastSAM)/ITODD (https://bop.felk.cvut.cz/sub_info/4006/): cnos-fastsam_itodd-test_df32d45b-301c-4fc9-8769-797904dd9325.json
+CNOS (FastSAM)/YCB-V (https://bop.felk.cvut.cz/sub_info/4008/): cnos-fastsam_ycbv-test_f4f2127c-6f59-447c-95b3-28e1e591f1a1.json
+CNOS (FastSAM)/TUD-L (https://bop.felk.cvut.cz/sub_info/4009/): cnos-fastsam_tudl-test_c48a2a95-1b41-4a51-9920-a667cb3d7149.json
+CNOS (FastSAM)/IC-BIN (https://bop.felk.cvut.cz/sub_info/4004/): cnos-fastsam_icbin-test_f21a9faf-7ef2-4325-885f-f4b6460f4432.json
+CNOS (FastSAM)/HB (https://bop.felk.cvut.cz/sub_info/4007/): cnos-fastsam_hb-test_db836947-020a-45bd-8ec5-c95560b68011.json
+CNOS (FastSAM)/T-LESS (https://bop.felk.cvut.cz/sub_info/4005/): cnos-fastsam_tless-test_8ca61cb0-4472-4f11-bce7-1362a12d396f.json
+CNOS (FastSAM)/LM-O (https://bop.felk.cvut.cz/sub_info/4003/): cnos-fastsam_lmo-test_3cb298ea-e2eb-4713-ae9e-5a7134c5da0f.json

default_detections/core19_model_based_unseen/cnos-fastsam/cnos-fastsam_hb-test_db836947-020a-45bd-8ec5-c95560b68011.json

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default_detections/core24_model_based_unseen/README.md

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+
+# Default detections/segmentations for model-based tasks of BOP Challenge 2024
+
+The default detections/segmentations are results of CNOS (https://github.com/nv-nguyen/cnos), a strong baseline for CAD-based novel object segmentation prepared by Van Nguyen Nguyen et al. (https://nv-nguyen.github.io/) for BOP challenge 2024.
+
+Below is a list of files with 2D detections/segmentations for the seven core datasets together will URLs of the corresponding submissions.
+
+CNOS (FastSAM) (https://bop.felk.cvut.cz/method_info/357/):
+
+CNOS (FastSAM)/HOPE (TODO): TODO
+CNOS (FastSAM)/HANDAL (TODO): TODO
+CNOS (FastSAM)/HOT-3D (TODO): TODO

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default_detections/core24_model_free_unseen/README.md

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+
+# Default detections/segmentations for model-free tasks of BOP Challenge 2024
+
+The default detections/segmentations are results of CNOS (https://github.com/nv-nguyen/cnos), a strong baseline for CAD-based novel object segmentation prepared by Van Nguyen Nguyen et al. (https://nv-nguyen.github.io/) for BOP challenge 2024.
+
+Below is a list of files with 2D detections/segmentations for the seven core datasets together will URLs of the corresponding submissions.
+
+CNOS (FastSAM) (https://bop.felk.cvut.cz/method_info/357/):
+
+CNOS (FastSAM)/HOPE (TODO): TODO
+CNOS (FastSAM)/HANDAL (TODO): TODO
+CNOS (FastSAM)/HOT-3D (TODO): TODO

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