Image Retrieval On Cub 200 2011
Métriques
R@1
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | R@1 |
|---|---|
| multi-similarity-loss-with-general-pair | 65.7 |
| making-classification-competitive-for-deep | 65.3 |
| mes-loss-mutually-equidistant-separation | 67.03 |
| proxynca-revisiting-and-revitalizing-proxy | 72.2 |
| combination-of-multiple-global-descriptors | 79.2 |
| robust-and-decomposable-average-precision-for | 68.5 |
| robust-and-decomposable-average-precision-for | 77.4 |
| improved-embeddings-with-easy-positive | 64.9 |