Medical Image Classification on Camelyon17 OOD WILDS (test)
95.44Average Accuracyself-supervised Vision Transformer
Evaluation Results
| Method | Links | |
|---|---|---|
| self-supervised Vision TransformerClassifier=DenseNet-1212024.07 | 95.44 | |
| ContriMixClassifier=DenseNet-1212024.07 | 94.6 | |
| MBDGClassifier=DenseNet-1212024.07 | 93.3 | |
| ERM with targeted augmentationClassifier=DenseNet-1212024.07 | 92.1 | |
| LISAClassifier=DenseNet-1212024.07 | 77.1 | |
| FISH + SDGBase Algorithm=FISH, Optimization=SDG2023.08 | 76.2 | |
| CORAL + SDGBase Algorithm=CORAL, Optimization=SDG2023.08 | 75.2 | |
| FISHBase Algorithm=FISH, Optimization=Standard2023.08 | 74.7 | |
| CORAL + AND-MASKBase Algorithm=CORAL, Optimization=AND-MASK2023.08 | 70.8 | |
| ERMClassifier=DenseNet-1212024.07 | 70.8 | |
| ERMBase Algorithm=ERM2023.08 | 70.3 | |
| CORAL + SAND-MASKBase Algorithm=CORAL, Optimization=SAND-MASK2023.08 | 64.7 | |
| CORALBase Algorithm=CORAL, Optimization=Standard2023.08 | 59.5 |