OOD detection on ISIC Colour Chart Artefacts (Dissimilar)
0.9552AUROCMBM
Evaluation results
| Method | Links | ||
|---|---|---|---|
| MBMBackbone=ResNet182026.02 | 0.9552 | — | |
| MahalanobisBackbone=ResNet182026.02 | 0.954 | — | |
| PCXBackbone=ResNet182026.02 | 0.945 | — | |
| RealNVP2026.02 | 0.9417 | — | |
| TAPUUDBackbone=ResNet182026.02 | 0.9331 | — | |
| ResidualBackbone=ResNet182026.02 | 0.9255 | — | |
| LOFBackbone=ResNet182026.02 | 0.9137 | — | |
| KNNBackbone=ResNet182026.02 | 0.9061 | — | |
| KDE (Gaussian)Backbone=ResNet182026.02 | 0.8897 | — | |
| DDPM-LPIPS2026.02 | 0.8643 | — | |
| Deep SVDD2026.02 | 0.8513 | — | |
| XOOD-MBackbone=ResNet182026.02 | 0.8481 | — | |
| CoPBackbone=ResNet182026.02 | 0.8435 | — | |
| CoRPBackbone=ResNet182026.02 | 0.8253 | — | |
| NMDBackbone=ResNet182026.02 | 0.7877 | — | |
| DDPM-MSE2026.02 | 0.7685 | — | |
| WeiPerBackbone=ResNet182026.02 | 0.7653 | — | |
| FPI2026.02 | 0.7383 | — | |
| ASHBackbone=ResNet182026.02 | 0.7345 | — | |
| GradNormBackbone=ResNet182026.02 | 0.7137 | — | |
| NANBackbone=ResNet182026.02 | 0.6809 | — | |
| Outlier ExposureBackbone=ResNet182026.02 | 0.6789 | — | |
| Rotation PredBackbone=ResNet182026.02 | 0.6715 | — | |
| Reject ClassBackbone=ResNet182026.02 | 0.6515 | — | |
| ViMBackbone=ResNet182026.02 | 0.6404 | — | |
| Bayes By BackpropBackbone=ResNet182026.02 | 0.6178 | — | |
| CIDERBackbone=ResNet182026.02 | 0.6159 | — | |
| Deep EnsembleBackbone=ResNet182026.02 | 0.5915 | — | |
| FeatureNormBackbone=ResNet182026.02 | 0.5814 | — | |
| GradOrthBackbone=ResNet182026.02 | 0.5702 | — | |
| ODINBackbone=ResNet182026.02 | 0.5702 | — | |
| DICEBackbone=ResNet182026.02 | 0.5701 | — | |
| GRAMBackbone=ResNet182026.02 | 0.5679 | — | |
| MC-DropoutBackbone=ResNet182026.02 | 0.5675 | — | |
| SHEBackbone=ResNet182026.02 | 0.5574 | — | |
| MCPBackbone=ResNet182026.02 | 0.5537 | — | |
| NuSABackbone=ResNet182026.02 | 0.5315 | — | |
| NACBackbone=ResNet182026.02 | 0.5303 | — | |
| ReActBackbone=ResNet182026.02 | 0.513 | — | |
| GAIA-ABackbone=ResNet182026.02 | 0.4767 | — | |
| ASHBackbone=ResNet18, Method Category=Confidence-based2026.02 | — | 7.27 | |
| CoPBackbone=ResNet18, Method Category=Feature-based2026.02 | — | 4.28 | |
| CoRPBackbone=ResNet18, Method Category=Feature-based2026.02 | — | 4.71 | |
| Deep EnsembleBackbone=ResNet18, Method Category=Confidence-based2026.02 | — | 10.06 | |
| DICEBackbone=ResNet18, Method Category=Confidence-based2026.02 | — | 12.09 | |
| FeatureNormBackbone=ResNet18, Method Category=Feature-based2026.02 | — | 2.11 | |
| GAIA-ABackbone=ResNet18, Method Category=Confidence-based2026.02 | — | 17.54 | |
| GradNormBackbone=ResNet18, Method Category=Confidence-based2026.02 | — | 13.36 | |
| GradOrthBackbone=ResNet18, Method Category=Confidence-based2026.02 | — | 12.47 | |
| GRAMBackbone=ResNet18, Method Category=Feature-based2026.02 | — | 11.79 | |
| KDE (Gaussian)Backbone=ResNet18, Method Category=Feature-based2026.02 | — | 3.14 | |
| KNNBackbone=ResNet18, Method Category=Feature-based2026.02 | — | 0.13 | |
| LOFBackbone=ResNet18, Method Category=Feature-based2026.02 | — | 2.73 | |
| MahalanobisBackbone=ResNet18, Method Category=Feature-based2026.02 | — | 1.98 | |
| MBMBackbone=ResNet18, Method Category=Feature-based2026.02 | — | 1.82 | |
| MC-DropoutBackbone=ResNet18, Method Category=Confidence-based2026.02 | — | 13.26 | |
| MCPBackbone=ResNet18, Method Category=Confidence-based2026.02 | — | 12.27 | |
| NACBackbone=ResNet18, Method Category=Feature-based2026.02 | — | 8.43 | |
| NANBackbone=ResNet18, Method Category=Feature-based2026.02 | — | 9.39 | |
| NMDBackbone=ResNet18, Method Category=Feature-based2026.02 | — | 9.4 | |
| NuSABackbone=ResNet18, Method Category=Feature-based2026.02 | — | 13.71 | |
| ODINBackbone=ResNet18, Method Category=Confidence-based2026.02 | — | 4.09 | |
| PCXBackbone=ResNet18, Method Category=Feature-based2026.02 | — | 0.86 | |
| ReActBackbone=ResNet18, Method Category=Confidence-based2026.02 | — | 14.91 | |
| ResidualBackbone=ResNet18, Method Category=Feature-based2026.02 | — | 2.4 | |
| SHEBackbone=ResNet18, Method Category=Confidence-based2026.02 | — | 12.77 | |
| TAPUUDBackbone=ResNet18, Method Category=Feature-based2026.02 | — | 6.27 | |
| ViMBackbone=ResNet18, Method Category=Confidence-based2026.02 | — | 2.41 | |
| WeiPerBackbone=ResNet18, Method Category=Confidence-based2026.02 | — | 2.44 | |
| XOOD-MBackbone=ResNet18, Method Category=Feature-based2026.02 | — | 4.94 |