Few Shot Image Classification On Cub 200 0
Métriques
Accuracy
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | Accuracy | Paper Title | Repository |
|---|---|---|---|
| Sample Clustering | 44.3% | Learning Deep Parsimonious Representations | |
| TAFE-Net | 56.9% | TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning | |
| SJE | 50.1% | Evaluation of Output Embeddings for Fine-Grained Image Classification |
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