Fine Grained Image Recognition On Cub 200
Métriques
Accuracy
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | Accuracy | Paper Title | Repository |
---|---|---|---|
HOI-Net | 90.02% | High-Order-Interaction for weakly supervised Fine-Grained Visual Categorization | |
PIM | 92.8 | A Novel Plug-in Module for Fine-Grained Visual Classification |
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