Video Action Classification on SSv2 time-correlated (val)
48.25Top-1 AccuracyViTTA
Evaluation Results
| Method | Links | |
|---|---|---|
| ViTTAModel=Swin, Batch=82022.11 | 48.25 | |
| ViTTAModel=Swin, Batch=12022.11 | 42.98 | |
| TENTModel=Swin, Batch=82022.11 | 42.81 | |
| sourceModel=Swin2022.11 | 42.18 | |
| T3AModel=Swin, Batch=82022.11 | 41.69 | |
| T3AModel=Swin, Batch=12022.11 | 41.64 | |
| SHOTModel=Swin, Batch=82022.11 | 39.52 | |
| ViTTAModel=TANet, Batch=82022.11 | 33.31 | |
| TENTModel=Swin, Batch=12022.11 | 33.22 | |
| ViTTAModel=TANet, Batch=12022.11 | 31.45 | |
| sourceModel=TANet2022.11 | 24.31 | |
| T3AModel=TANet, Batch=82022.11 | 24.17 | |
| T3AModel=TANet, Batch=12022.11 | 24.14 | |
| SHOTModel=Swin, Batch=12022.11 | 20.58 | |
| TENTModel=TANet, Batch=82022.11 | 10.24 | |
| SHOTModel=TANet, Batch=82022.11 | 9.85 | |
| NORMModel=TANet, Batch=82022.11 | 9.83 | |
| DUAModel=TANet, Batch=12022.11 | 6.45 | |
| TENTModel=TANet, Batch=12022.11 | 3.79 | |
| NORMModel=TANet, Batch=12022.11 | 3.77 | |
| SHOTModel=TANet, Batch=12022.11 | 3.71 |