Zero Shot Skeletal Action Recognition On Ntu
Métriques
Accuracy (12 unseen classes)
Accuracy (5 unseen classes)
Random Split Accuracy
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | Accuracy (12 unseen classes) | Accuracy (5 unseen classes) | Random Split Accuracy |
|---|---|---|---|
| sa-dvae-improving-zero-shot-skeleton-based | 41.38 | 82.37 | 84.20 |
| sa-dvae-improving-zero-shot-skeleton-based | - | - | 87.61 |
| part-aware-unified-representation-of-language-1 | 40.99 | 79.23 | - |
| fine-grained-side-information-guided-dual | 45.10 | 81.40 | 77.50 |
| tdsm-triplet-diffusion-for-skeleton-text | 56.03 | 86.49 | 88.88 |
| zero-shot-skeleton-based-action-recognition | 40.18 | 77.98 | 65.08 |
| generalized-zero-and-few-shot-learning-via | 28.96 | 76.84 | 60.74 |
| syntactically-guided-generative-embeddings-1 | 33.30 | 75.81 | 64.19 |