Photo To Rest Generalization On Pacs
Métriques
Accuracy
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | Accuracy | Paper Title | Repository |
|---|---|---|---|
| MetaCNN (AlexNet) | 57.17 | Meta Convolutional Neural Networks for Single Domain Generalization | - |
| Crafting-Shifts(ResNet18) | 65.85 | Crafting Distribution Shifts for Validation and Training in Single Source Domain Generalization | |
| Crafting-Shifts(AlexNet) | 60.97 | Crafting Distribution Shifts for Validation and Training in Single Source Domain Generalization | |
| PACS (AlexNet) | 55.24 | Learning to Diversify for Single Domain Generalization | |
| MCL (ResNet18) | 59.6 | Meta-causal Learning for Single Domain Generalization | - |
| ABA (ResNet18) | 59.04 | Adversarial Bayesian Augmentation for Single-Source Domain Generalization | |
| ProRandConv (ResNet18) | 62.89 | Progressive Random Convolutions for Single Domain Generalization | - |
| CADA (ResNet18) | 56.65 | Center-aware Adversarial Augmentation for Single Domain Generalization | - |
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