REACT24 / submission /README.md
HJHGJGHHG's picture
Upload 14 files
c7c9ef3 verified
# Results
**Results on the validation set**
| Task | with latent | Top-K | Top-P | Temp. | FRCorr↑ | FRDist↓ | FRDiv↑ | FRVar↑ | FRDvs↑ | FRSyn↓ |
| :--: | :----: | :----: | :---: | :---: | :---: | :-------: | :--: | :--: | :--: | :--: |
| **Random** † | - | - | - | - | 0.0696 | 200.74 | 0.3346 | 0.1673 | 0.3346 | 46.36 |
| **Mimic** † | - | - | - | - | 0.3747 | 84.93 | 0.0000 | 0.0636 | 0.2117 | 43.51 |
| online | √ | 50 | 1.0 | 0.33 | 0.196 | 146.5 | 0.2755 | 0.1415 | 0.2871 | 46.55 |
| | √ | 8 | 1.0 | 0.33 | 0.1984 | 145.9 | 0.2797 | 0.1421 | 0.1912 | 46.39 |
| | √ | 10 | 0.8 | 0.33 | 0.2042 | 144.8 | 0.2782 | 0.1416 | 0.2929 | 46.38 |
| | √ | 10 | 0.5 | 0.33 | 0.2117 | 143.6 | 0.2754 | 0.1407 | 0.2933 | 46.03 |
| | √ | 5 | 0.5 | 0.2 | 0.21 | 143.4 | 0.2757 | 0.14 | 0.294 | 46.65 |
| | √ | 3 | 0.33 | 0.2 | 0.2083 | 144.8 | 0.2754 | 0.149 | 0.2951 | 46.33 |
| | √ | 2 | 0.2 | 0.2 | 0.2094 | 145.1 | 0.2769 | 0.1411 | 0.2956 | 46.27 |
| | √ | 50 | 1.0 | 1.0 | 0.1633 | 156.7 | 0.2826 | 0.1508 | 0.2850 | 46.65 |
| | | 50 | 1.0 | 0.33 | 0.2077 | 91.21 | 0.1143 | 0.0414 | 0.117 | 47.29 |
| | | 50 | 1.0 | 0.67 | 0.1996 | 95.26 | 0.1371 | 0.05576 | 0.1407 | 46.68 |
| | | 50 | 1.0 | 1.0 | 0.1819 | 101.9 | 0.176 | 0.078 | 0.1795 | 46.28 |
| | | 8 | 0.5 | 1.0 | 0.2036 | 91.23 | 0.1141 | 0.0413 | 0.1171 | 47.57 |
| | | 10 | 1.0 | 1.0 | 0.1969 | 96.24 | 0.1466 | 0.0611 | 0.15 | 46.6 |
| | | 10 | 1.0 | 1.33 | 0.1804 | 99.4 | 0.1667 | 0.0733 | 0.1697 | 46.67 |
| | | 50 | 1.0 | 1.33 | 0.1487 | 111.5 | 0.2233 | 0.1045 | 0.226 | 46.03 |
| | | 8 | 0.5 | 1.33 | 0.202 | 92.1 | 0.1186 | 0.0437 | 0.1215 | 47.23 |
| | | 10 | 0.8 | 1.33 | 0.1965 | 95.3 | 0.1377 | 0.0568 | 0.1398 | 46.37 |
| | | 10 | 0.5 | 1.5 | 0.2029 | 92.89 | 0.1189 | 0.0466 | 0.1223 | 47.31 |
| offline | √ | 50 | 1.0 | 0.33 | 0.1957 | 138.7 | 0.2551 | 0.1306 | 0.267 | 46.56 |
| | | 10 | 1.0 | 1.0 | 0.2038 | 93.85 | 0.1334 | 0.0545 | 0.1374 | 46.31 |
| | | 50 | 1.0 | 1.0 | 0.1801 | 102.1 | 0.1785 | 0.0786 | 0.1816 | 46.18 |
†: self-producted baseline results
**Results on the test set** (Online task)
| Model | with latent | Top-K | Top-P | Temp. | FRCorr↑ | FRDist↓ | FRDiv↑ | FRVar↑ | FRDvs↑ | FRSyn↓ |
| :--: | :----: | :---: | :---: | :---: | :-------: | :--: | :--: | :--: | :--: | :--: |
| **Random** | - | - | - | - | 0.05 | 237.21 | 0.1667 | 0.0833 | 0.1667 | 43.84 |
| **Mimic** | - | - | - | - | 0.38 | 92.94 | 0.0000 | 0.0724 | 0.2483 | 38.54 |
| Trans-VAE | - | - | - | - | 0.03 | 92.81 | 0.0008 | 0.0002 | 0.0006 | 43.75 |
| BeLFusion (*k*=10) | - | - | - | - | 0.12 | 91.60 | 0.0105 | 0.0082 | 0.0116 | 44.87 |
| REGNN | - | - | - | - | 0.19 | 84.54 | 0.0007 | 0.0061 | 0.0342 | 41.35 |
| | × | 50 | 0.8 | 0.33 | 0.128 | 98.18 | 0.1343 | 0.0647 | 0.1368 | 43.95 |
| | × | 50 | 1.0 | 0.33 | | | | | | |
| | × | 10 | 1.0 | 1.0 | 0.1543 | 95.2 | 0.131 | 0.0534 | 0.1346 | 43.84 |
| | × | 10 | 0.8 | 1.33 | 0.1553 | 94.45 | 0.1239 | 0.0504 | 0.1273 | 43.89 |
| **SUBMISSION1** | **×** | **8** | **0.5** | **1.0** | <u>**0.1587**</u> | <u>**92.05**</u> | <u>**0.1029**</u> | <u>**0.0387**</u> | <u>**0.1065**</u> | <u>**44.52**</u> |
| | × | 10 | 1.0 | 1.33 | 0.1633 | 96.37 | 0.0825 | 0.0404 | 0.0839 | 44.02 |
| **SUBMISSION2** | **√** | **10** | **0.5** | **0.33** | <u>**0.1436**</u> | <u>**135.5**</u> | <u>**0.303**</u> | <u>**0.139**</u> | <u>**0.2878**</u> | <u>**44.05**</u> |
| **SUBMISSION3** | - | - | - | - | <u>**0.1609**</u> | <u>**104.3**</u> | <u>**0.1706**</u> | <u>**0.055**</u> | <u>**0.1506**</u> | <u>**44.71**</u> |
**Results on the test set** (Offline task)
| Model | with latent | Top-K | Top-P | Temp. | FRCorr↑ | FRDist↓ | FRDiv↑ | FRVar↑ | FRDvs↑ | FRSyn↓ |
| :--: | :----: | :---: | :---: | :---: | :-------: | :--: | :--: | :--: | :--: | :--: |
| **Random** | - | - | - | - | 0.05 | 237.21 | 0.1667 | 0.0833 | 0.1667 | 43.84 |
| **Mimic** | - | - | - | - | 0.38 | 92.94 | 0.0000 | 0.0724 | 0.2483 | 38.54 |
| Trans-VAE | - | - | - | - | 0.03 | 92.81 | 0.0008 | 0.0002 | 0.0006 | 43.75 |
| BeLFusion (*k*=10) | - | - | - | - | 0.12 | 91.60 | 0.0105 | 0.0082 | 0.0116 | 44.87 |
| REGNN | - | - | - | - | 0.19 | 84.54 | 0.0007 | 0.0061 | 0.0342 | 41.35 |
| | × | 10 | 0.8 | 1.33 | 0.1638 | 99.8 | 0.1503 | 0.0482 | 0.1552 | 44.3 |
| | × | 10 | 1.0 | 0.67 | 0.168 | 98.08 | 0.131 | 0.0415 | 0.1379 | 44.61 |
| **SUBMISSION1** | **×** | **10** | **0.5** | **0.67** | <u>**0.1664**</u> | <u>**93.97**</u> | <u>**0.1018**</u> | <u>**0.0325**</u> | <u>**0.1**</u> | <u>**44.71**</u> |
| | × | 8 | 0.5 | 1.0 | 0.168 | 96.82 | 0.1188 | 0.03560 | 0.1191 | 44.71 |
| **SUBMISSION2** | **√** | **5** | **0.5** | **0.2** | <u>**0.139**</u> | <u>**140.5**</u> | <u>**0.3059**</u> | <u>**0.1409**</u> | <u>**0.2881**</u> | <u>**44.19**</u> |
| **SUBMISSION3** | - | - | - | - | <u>**0.1692**</u> | <u>**104**</u> | <u>**0.1675**</u> | <u>**0.0535**</u> | <u>**0.1385**</u> | <u>**44.71**</u> |
NOTE: results of the submission3 is a combination of submission1 (k=8) and submission2 (k=2).
The listener reaction videos are generated using the same setting of online submission1 on the val dataset.
The generation config .yaml file and the logging files are provided in the `raw_results` folder. To compute the metrics, run
```bash
python compute_metrics.py --n_threads 24 --phase test --decoded_labels_dir submission\{task}\submission{1/2/3}\raw_results
```
To re-generate the results, pute the `generation_config.yaml` in the `recipes` folder and run
```bash
CUDA_VISIBLE_DEVICES=4,5,6,7 accelerate launch --config_file ../recipes/accelerate_config.yaml --num_processes 4 generate_results.py
```