Skeleton Based Action Recognition On Ut
Métriques
Accuracy
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | Accuracy |
|---|---|
| generalized-graph-convolutional-networks-for | 98.5% |
| subspace-clustering-for-action-recognition | 99.50% |
| deep-progressive-reinforcement-learning-for | 98.5% |
| tensor-representations-for-action-recognition | 99.2 |
| graph-based-skeleton-modeling-for-human | 96% |
| human-action-recognition-by-representing-3d-1 | 97.1% |
| tensor-representations-for-action-recognition | 98.2 |