Few Shot Image Classification On Stanford 1
Métriques
Accuracy
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | Accuracy |
|---|---|
| multi-level-metric-learning-for-few-shot | 75.59 |
| few-shot-learning-with-graph-neural-networks | 62.27 |
| matching-networks-for-one-shot-learning | 47.50 |
| multi-scale-adaptive-task-attention-network | 70.29 |
| prototypical-networks-for-few-shot-learning | 48.19 |
| revisiting-local-descriptor-based-image-to | 66.33 |