Skeleton Based Action Recognition On Florence
Métriques
Accuracy
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | Accuracy |
|---|---|
| rolling-rotations-for-recognizing-human-1 | 91.40% |
| generalized-graph-convolutional-networks-for | 98.4% |
| tensor-representations-for-action-recognition | 97.45 |
| human-action-recognition-by-representing-3d-1 | 90.9% |
| subspace-clustering-for-action-recognition | 95.81% |
| tensor-representations-for-action-recognition | 95.23 |
| spatio-temporal-graph-convolution-for | 99.1% |