Image Retrieval On Inaturalist
Métriques
R@1
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | R@1 |
|---|---|
| hierarchical-average-precision-training-for | 71.0 |
| robust-and-decomposable-average-precision-for | 73.6 |
| rethinking-ranking-based-loss-functions-only | 66.6 |
| smooth-ap-smoothing-the-path-towards-large | 67.2 |
| robust-and-decomposable-average-precision-for | 69.1 |
| unicom-universal-and-compact-representation | 88.9 |
| learning-semantic-proxies-from-visual-prompts | 84.5 |
| recall-k-surrogate-loss-with-large-batches | 71.8 |
| hierarchical-average-precision-training-for | 70.7 |
| recall-k-surrogate-loss-with-large-batches | 83.0 |