Fine Grained Image Classification On Birdsnap
Métriques
Accuracy
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | Accuracy |
|---|---|
| fixing-the-train-test-resolution-discrepancy | 84.3% |
| gpipe-efficient-training-of-giant-neural | 83.6% |
| sharpness-aware-minimization-for-efficiently-1 | 90.07% |
| with-a-little-help-from-my-friends-nearest | 61.4% |
| efficientnet-rethinking-model-scaling-for | 84.3% |