Photo To Rest Generalization On Pacs
Métriques
Accuracy
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | Accuracy |
|---|---|
| meta-convolutional-neural-networks-for-single | 57.17 |
| crafting-distribution-shifts-for-validation | 65.85 |
| crafting-distribution-shifts-for-validation | 60.97 |
| learning-to-diversify-for-single-domain | 55.24 |
| meta-causal-learning-for-single-domain | 59.6 |
| adversarial-bayesian-augmentation-for-single | 59.04 |
| progressive-random-convolutions-for-single | 62.89 |
| center-aware-adversarial-augmentation-for | 56.65 |