| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Action Recognition | NTU RGB+D 120 (X-set) | Accuracy97 | 717 | |
| Action Recognition | NTU RGB+D (Cross-View) | Accuracy99 | 652 | |
| Action Recognition | NTU RGB+D 60 (cross-view) | Accuracy99.6 | 588 | |
| Action Recognition | NTU RGB+D (Cross-subject) | Accuracy96.1 | 500 | |
| Action Recognition | NTU RGB+D 60 (X-sub) | Accuracy97 | 467 | |
| Action Recognition | NTU RGB+D X-sub 120 | Accuracy95.5 | 430 | |
| Action Recognition | NTU RGB+D 120 Cross-Subject | Accuracy94.85 | 222 | |
| Skeleton-based Action Recognition | NTU RGB+D (Cross-View) | Accuracy98.2 | 213 | |
| Action Recognition | NTU RGB+D X-View 60 | Accuracy99.6 | 190 | |
| Skeleton-based Action Recognition | NTU RGB+D 120 (X-Set) | Top-1 Accuracy93.1 | 184 | |
| Skeleton-based Action Recognition | NTU-RGB+D 120 (Cross-Subject) | Top-1 Accuracy90.1 | 143 | |
| Skeleton-based Action Recognition | NTU-RGB+D 120 (Cross-setup) | Accuracy96.4 | 136 | |
| Skeleton-based Action Recognition | NTU RGB+D 60 (X-View) | Top-1 Accuracy97.2 | 126 | |
| Skeleton-based Action Recognition | NTU-RGB+D (Cross-subject) | Accuracy93.1 | 123 | |
| Action Recognition | NTU RGB+D 120 (110/10 Xsub) | Accuracy78.9 | 66 | |
| Skeleton-based Action Recognition | NTU RGB+D 120 (X-Sub) | Accuracy91.7 | 63 | |
| Action Recognition | NTU RGB+D 120 (Cross-View) | Accuracy96.45 | 61 | |
| Skeleton-based Action Recognition | NTU RGB+D 60 (Cross-Subject) | Accuracy97 | 59 | |
| Action Recognition | NTU RGB+D v1 (Cross-Subject (CS)) | Accuracy96.2 | 50 | |
| Action Recognition | NTU-RGB+D 60 (48/12) | Accuracy64.4 | 49 | |
| Action Recognition | NTU-RGB+D X-Sub | Accuracy95 | 46 | |
| Action Recognition | NTU RGB+D 60 (cross-view (CV)) | Top-1 Acc99.6 | 44 | |
| Action Recognition | NTU RGB+D Xsub 60 (Cross-Subject 55/5) | Accuracy86.9 | 40 | |
| Skeleton-based Action Recognition | NTU RGB+D Cross-View (CV) 1.0 | Accuracy95.1 | 38 | |
| Action Recognition | NTU RGB+D | Accuracy91.7 | 34 |