OOD Detection on HAM10000 (test)
1AUCDRUE
Evaluation results
| Method | Links | ||
|---|---|---|---|
| DRUEBackbone=ResNet-18, In-distribution Dataset=Glaucoma-Light V22026.01 | 1 | 1 | |
| MC DropoutBackbone=ResNet-18, In-distribution Dataset=Glaucoma-Light V22026.01 | 0.9 | 0.93 | |
| EntropyBackbone=ResNet-18, In-distribution Dataset=Glaucoma-Light V22026.01 | 0.8 | 0.84 | |
| BNNBackbone=ResNet-18, In-distribution Dataset=Glaucoma-Light V22026.01 | 0.69 | 0.82 | |
| PostNet Epis.Backbone=ResNet-18, In-distribution Dataset=Glaucoma-Light V2, Type=Epistemic2026.01 | 0.68 | 0.79 | |
| DECBackbone=ResNet-18, In-distribution Dataset=Glaucoma-Light V22026.01 | 0.66 | 0.81 | |
| PostNet Alea.Backbone=ResNet-18, In-distribution Dataset=Glaucoma-Light V2, Type=Aleatoric2026.01 | 0.57 | 0.68 |