| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Action Recognition | FineGYM | Accuracy96 | 29 | |
| Event Spotting | FineGym | mAP67.8 | 23 | |
| Action Recognition | FineGym Gym99 | Mean Per-Class Acc87.7 | 14 | |
| Action Recognition | FineGym Gym288 | Mean per-class Accuracy0.509 | 14 | |
| Skeleton-based Action Recognition | FineGYM | Top-1 Acc96.5 | 12 | |
| Fine-grained action recognition | FineGym290 | Accuracy46.54 | 12 | |
| Fine-grained action recognition | FineGym101 | Accuracy49.51 | 12 | |
| Temporal Action Detection | FineGym (new data split) | mAP@0.120.23 | 10 | |
| Action Recognition | FineGYM 1.0 (test) | Accuracy95.3 | 9 | |
| Skeleton-based Action Recognition | FineGym (test) | Accuracy93.2 | 9 | |
| Skeleton-based Action Recognition | FineGym 112 (test) | Accuracy93.2 | 9 | |
| Video Classification | FineGym (test) | Gym288 Score54.2 | 8 | |
| Video Event Spotting | FineGym Start | mAP (@ delta=0)29.2 | 8 | |
| Video Event Spotting | FineGym Full | mAP (@ delta=0)23.7 | 8 | |
| Category Splitting | FineGym Split Subset B | Generality18.9 | 7 | |
| Category Splitting | FineGym Subset A | Generality34.2 | 7 | |
| Narrative Action Evaluation | FineGym NAE re-annotated (test) | mAP16.2 | 7 | |
| Action Quality Assessment | FineGym NAE | Spearman Correlation (ρ)0.764 | 7 | |
| Fine-grained Action Recognition | FineGym 288 (original clips) | Accuracy24.16 | 6 | |
| Fine-grained Action Recognition | FineGym99 (original clips) | Accuracy27.81 | 6 | |
| Event Spotting | FineGym Full | mAP (delta=1)51.8 | 3 | |
| Event Spotting | FineGym Start | mAP (delta=1)65.3 | 2 | |
| Action Recognition | FineGYM-99 | Accuracy95.6 | 2 | |
| Skeleton Action Recognition | FineGYM 2D Skeleton | Mean Class Accuracy0.941 | 1 |