| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| Penn Action | Phase Classification Accuracy86.05 | 48 | 4d ago | ||
| COIN | TimeSformer (Distant Supervision) | Phase Acc54.1 | 32 | 4d ago | |
| Break Eggs | AE2 | F1 Score71.72 | 27 | 4d ago | |
| Pouring | LAV | Phase Classification Accuracy92.84 | 24 | 4d ago | |
| IKEA ASM (Background) | Accuracy (Phase Classification)31.92 | 24 | 4d ago | ||
| IKEA ASM No Background | Phase Classification Accuracy33.81 | 24 | 4d ago | ||
| Tennis Forehand | AE2 | F1 Score85.87 | 21 | 4d ago | |
| Pour Liquid | AE2 | F1 Score66.56 | 21 | 4d ago | |
| Pour Milk | AE2 | F1 Score85.17 | 21 | 4d ago | |
| Dataset A | AE2 | F1 Score (10%)63.95 | 10 | 4d ago | |
| Dataset (D) | AE2 | F1 Score (10%)85.24 | 7 | 4d ago | |
| Dataset C | AE2 | F1 (10%)65.88 | 7 | 4d ago | |
| Dataset B | AE2 | F1 Score (10%)85.17 | 7 | 4d ago | |
| PennAction 13 classes | Ours | Phase Classification Score78.9 | 4 | 4d ago |
