| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| Volleyball Dataset (VD) (original) | GroupFormer | Accuracy95.7 | 79 | 1mo ago | |
| Volleyball dataset | Dual-AI | Accuracy95.4 | 40 | 1mo ago | |
| Collective Activity (test) | HGC-Transformer | Accuracy96.5 | 37 | 1mo ago | |
| Volleyball dataset (test) | DIN | MCA93.6 | 37 | 1mo ago | |
| Collective Activity | Ours | MPCA96.5 | 27 | 1mo ago | |
| Collective Activity Dataset | GroupFormer | Accuracy96.3 | 25 | 1mo ago | |
| Volleyball dataset | MCA94.1 | 19 | 1mo ago | ||
| NBA (test) | SOGAR | MCA83.3 | 19 | 12d ago | |
| Volleyball Dataset (VD) (Olympic) | COMPOSER | Accuracy95.1 | 10 | 1mo ago | |
| Volleyball dataset (VBD) (test) | MP-GCN | Merged MCA96.1 | 9 | 12d ago | |
| VBD (test) | Group-DINOmics | MCA93.9 | 9 | 12d ago | |
| NBA 56 (test) | Dual-AI | Mean Accuracy50.2 | 7 | 1mo ago | |
| Weak-Volleyball-M (test) | Dual-AI | Accuracy96.5 | 6 | 1mo ago | |
| SoccerNet GAR | Baseline Tracking Model (GIN + Maxpool + Positional edges) | Balanced Accuracy77.8 | 2 | 12d ago |
