Zero Shot Action Recognition On Olympics
Métriques
Top-1 Accuracy
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | Top-1 Accuracy | Paper Title | Repository |
|---|---|---|---|
| CLASTER | 68.4 | CLASTER: Clustering with Reinforcement Learning for Zero-Shot Action Recognition | - |
| SJE(Atrribute) | 47.5 | Evaluation of Output Embeddings for Fine-Grained Image Classification | - |
| TS-GCN | 56.5 | I Know the Relationships: Zero-Shot Action Recognition via Two-Stream Graph Convolutional Networks and Knowledge Graphs | |
| ZSECOC | 59.8 | Zero-Shot Action Recognition With Error-Correcting Output Codes | - |
| ESZSL | 39.6 | An embarrassingly simple approach to zero-shot learning | |
| SPOT | 68.7 | Synthetic Sample Selection for Generalized Zero-Shot Learning | - |
| SJE(Word Embedding) | 28.6 | Evaluation of Output Embeddings for Fine-Grained Image Classification | - |
| MTE | 44.3 | Multi-Task Zero-Shot Action Recognition with Prioritised Data Augmentation | - |
| ER-ZSAR | 60.2 | Elaborative Rehearsal for Zero-shot Action Recognition | - |
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