Object State Change Classification on Ego4D (test)
75AccuracyEgoT2-s
Evaluation results
| Method | Links | |
|---|---|---|
| EgoT2-sArchitecture=EgoVLP2022.12 | 75 | |
| EgoT2 (EgoVLP)Ego4D Pt.=true2024.03 | 75 | |
| EgoVLP2022.12 | 74 | |
| EgoVLPEgo4D Pt.=true2024.03 | 74 | |
| EgoPackEgo4D Pt.=false2024.03 | 72.1 | |
| Divided ST Attention2022.12 | 72 | |
| EgoT2-sArchitecture=I3D ResNet-502022.12 | 71 | |
| EgoT2 (I3D)Ego4D Pt.=false2024.03 | 71 | |
| EgoT2-gArchitecture=I3D ResNet-502022.12 | 70 | |
| I3D ResNet-502022.12 | 68 | |
| Video Swin Transformer2022.12 | 68 | |
| I3D RN-50Ego4D Pt.=false2024.03 | 67.6 | |
| Always Positive2022.12 | 48 |