OOD Detection on CIFAR-10 (IND) vs LSUN C (OOD)
99.98AUROCMedix
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
| MedixTraining Data=Pin and Pwild2025.10 | 99.98 | — | — | 0.01 | |
| ASHTraining Data=Pin only2025.10 | 99.73 | — | — | 0.9 | |
| PALMMethod type=Training, Augmentations=Strong, Auxiliary outlier data=false, Backbone=ResNet-182024.05 | 99.65 | — | — | 121 | |
| MixOEBackbone=ResNet-182024.05 | 99.61 | — | — | 14 | |
| CSITraining Data=Pin only2025.10 | 99.55 | — | — | 1.95 | |
| Energy + pNMLBackbone=WideResNet-402021.10 | 99.5 | 98.6 | 97.1 | — | |
| DivOEBackbone=ResNet-182024.05 | 99.5 | — | — | 188 | |
| GradPCA-BatchBackbone=ResNetV2-50 (BiT-M)2025.05 | 99.45 | — | — | 2.23 | |
| KNNBackbone=ResNetV2-50 (BiT-M)2025.05 | 99.43 | — | — | 2.15 | |
| EnergyBackbone=WideResNet-402021.10 | 99.4 | 98.6 | 97 | — | |
| Hopfield BoostingBackbone=ResNet-182024.05 | 99.4 | — | — | 82 | |
| Hopfield BoostingMethod type=OE, Augmentations=Weak, Auxiliary outlier data=true, Backbone=ResNet-182024.05 | 99.4 | — | — | 82 | |
| KNN+Training Data=Pin only2025.10 | 99.39 | — | — | 2.95 | |
| SSD+Method type=Training, Augmentations=Strong, Auxiliary outlier data=false, Backbone=ResNet-182024.05 | 99.37 | — | — | 283 | |
| DOEBackbone=ResNet-182024.05 | 99.3 | — | — | 322 | |
| Energy (w/ OE)Training Data=Pin and Pwild2025.10 | 99.3 | — | — | 2.35 | |
| WOODSTraining Data=Pin and Pwild2025.10 | 99.14 | — | — | 0.31 | |
| DALBackbone=ResNet-182024.05 | 99.13 | — | — | 417 | |
| DOSBackbone=ResNet-182024.05 | 99.04 | — | — | 366 | |
| NPOSMethod type=Training, Augmentations=Strong, Auxiliary outlier data=false, Backbone=ResNet-182024.05 | 98.97 | — | — | 552 | |
| Kernel PCA (CoRP)Backbone=ResNetV2-50 (BiT-M)2025.05 | 98.91 | — | — | 5.07 | |
| GradPCA (block 4)Backbone=ResNetV2-50 (BiT-M)2025.05 | 98.9 | — | — | 6.01 | |
| POEMBackbone=ResNet-182024.05 | 98.89 | — | — | 402 | |
| GAIA-ZBackbone=ResNet-34 (TIMM)2025.05 | 98.87 | — | — | 5.27 | |
| MSP-OEBackbone=ResNet-182024.05 | 98.83 | — | — | 702 | |
| GradPCA-VecBackbone=ResNetV2-50 (BiT-M)2025.05 | 98.76 | — | — | 6.59 | |
| DICETraining Data=Pin only2025.10 | 98.68 | — | — | 6.32 | |
| MahalanobisBackbone=ResNetV2-50 (BiT-M)2025.05 | 98.65 | — | — | 6.06 | |
| EBO-OEBackbone=ResNet-182024.05 | 98.43 | — | — | 682 | |
| EnergyTraining Data=Pin only2025.10 | 98.35 | — | — | 8.26 | |
| OETraining Data=Pin and Pwild2025.10 | 98.16 | — | — | 1.91 | |
| GAIA-ABackbone=ResNet-34 (TIMM)2025.05 | 97.53 | — | — | 13.45 | |
| GradPCA (block 3)Backbone=ResNet-34 (TIMM)2025.05 | 97.49 | — | — | 11.06 | |
| ASHMethod type=Post-hoc, Augmentations=Weak, Auxiliary outlier data=false, Backbone=ResNet-182024.05 | 97.33 | — | — | 1,313 | |
| NCIBackbone=ResNetV2-50 (BiT-M)2025.05 | 97.32 | — | — | 10.26 | |
| GradPCABackbone=ResNetV2-50 (BiT-M)2025.05 | 97.21 | — | — | 15.1 | |
| ReActTraining Data=Pin only2025.10 | 97.21 | — | — | 14.38 | |
| ODINTraining Data=Pin only2025.10 | 97.04 | — | — | 15.52 | |
| GradPCA+DICEBackbone=ResNetV2-50 (BiT-M)2025.05 | 96.78 | — | — | 17.95 | |
| EBOMethod type=Post-hoc, Augmentations=Weak, Auxiliary outlier data=false, Backbone=ResNet-182024.05 | 96.73 | — | — | 1,725 | |
| MaxLogitMethod type=Post-hoc, Augmentations=Weak, Auxiliary outlier data=false, Backbone=ResNet-182024.05 | 96.52 | — | — | 1,850 | |
| GENMethod type=Post-hoc, Augmentations=Weak, Auxiliary outlier data=false, Backbone=ResNet-182024.05 | 96.48 | — | — | 1,940 | |
| GradPCA-BatchBackbone=ResNet-34 (TIMM)2025.05 | 95.87 | — | — | 25.22 | |
| GradPCA-VecBackbone=ResNet-34 (TIMM)2025.05 | 95.75 | — | — | 26.09 | |
| NCIBackbone=ResNet-34 (TIMM)2025.05 | 95.69 | — | — | 20.51 | |
| MSPTraining Data=Pin only2025.10 | 95.65 | — | — | 30.8 | |
| KNNTraining Data=Pin only2025.10 | 95.26 | — | — | 25.55 | |
| Proj. GradsBackbone=ResNetV2-50 (BiT-M)2025.05 | 95.09 | — | — | 21.48 | |
| Revisited PCABackbone=ResNet-34 (TIMM)2025.05 | 94.95 | — | — | 20.8 | |
| KNNBackbone=ResNet-34 (TIMM)2025.05 | 94.93 | — | — | 31.81 | |
| GAIA-ABackbone=ResNetV2-50 (BiT-M)2025.05 | 94.67 | — | — | 24.36 | |
| EnergyBackbone=ResNet-34 (TIMM)2025.05 | 94.46 | — | — | 21.57 | |
| Max logitsBackbone=ResNet-34 (TIMM)2025.05 | 94.36 | — | — | 22.45 | |
| ODINBackbone=ResNet-34 (TIMM)2025.05 | 94.36 | — | — | 22.45 | |
| Kernel PCA (CoRP)Backbone=ResNet-34 (TIMM)2025.05 | 94.27 | — | — | 36.72 | |
| MahalanobisTraining Data=Pin only2025.10 | 94.15 | — | — | 39.22 | |
| DICEBackbone=ResNet-34 (TIMM)2025.05 | 93.83 | — | — | 20.52 | |
| GradPCABackbone=ResNet-34 (TIMM)2025.05 | 93.81 | — | — | 31.29 | |
| Revisited PCABackbone=ResNetV2-50 (BiT-M)2025.05 | 93.75 | — | — | 24.36 | |
| MSPBackbone=ResNet-34 (TIMM)2025.05 | 93.11 | — | — | 39.86 | |
| ReActBackbone=ResNet-34 (TIMM)2025.05 | 92.89 | — | — | 21.71 | |
| GradOrthBackbone=ResNet-34 (TIMM)2025.05 | 92.57 | — | — | 34.75 | |
| MahalanobisBackbone=ResNet-34 (TIMM)2025.05 | 90.4 | — | — | 59.66 | |
| Proj. GradsBackbone=ResNet-34 (TIMM)2025.05 | 90.04 | — | — | 30.16 | |
| GradPCA+DICEBackbone=ResNet-34 (TIMM)2025.05 | 90.03 | — | — | 42.09 | |
| MSPBackbone=ResNetV2-50 (BiT-M)2025.05 | 89.45 | — | — | 29.7 | |
| MSPMethod type=Post-hoc, Augmentations=Weak, Auxiliary outlier data=false, Backbone=ResNet-182024.05 | 88.37 | — | — | 4,582 | |
| ODINBackbone=ResNetV2-50 (BiT-M)2025.05 | 84.09 | — | — | 37.92 | |
| Max logitsBackbone=ResNetV2-50 (BiT-M)2025.05 | 84.08 | — | — | 37.91 | |
| GAIA-ZBackbone=ResNetV2-50 (BiT-M)2025.05 | 82.62 | — | — | 51.87 | |
| EnergyBackbone=ResNetV2-50 (BiT-M)2025.05 | 81.06 | — | — | 46.99 | |
| GradOrthBackbone=ResNetV2-50 (BiT-M)2025.05 | 80.69 | — | — | 81.39 | |
| ReActBackbone=ResNetV2-50 (BiT-M)2025.05 | 46.36 | — | — | 98.03 | |
| DICEBackbone=ResNetV2-50 (BiT-M)2025.05 | 43.25 | — | — | 99.74 |