Out-of-Distribution Detection on CIFAR100 (ID) vs SVHN (OOD)
1AUROCERD
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| ERDEnsemble size=52020.12 | 1 | 100 | — | |
| ERD++Ensemble size=52020.12 | 1 | 100 | — | |
| PALMBackbone=ResNet-342026.05 | 0.9923 | — | 3.03 | |
| Generalized (Vol)Backbone=RepVGG-A22026.03 | 0.992 | — | 1.7 | |
| Generalized (Neg,Vol)Backbone=RepVGG-A22026.03 | 0.992 | — | 1.7 | |
| EIHFBackbone=ResNet-342026.05 | 0.9908 | — | 3.76 | |
| Single (Neg,Vol, InfoNCE)Backbone=RepVGG-A22026.03 | 0.985 | — | 8.2 | |
| DPLBackbone=ResNet-342026.05 | 0.9825 | — | 14.44 | |
| Single (Neg)Backbone=RepVGG-A22026.03 | 0.982 | — | 8.1 | |
| Generalized (Neg)Backbone=RepVGG-A22026.03 | 0.98 | — | 8.3 | |
| Generalized (Neg,Vol, InfoNCE)Backbone=RepVGG-A22026.03 | 0.976 | — | 15.6 | |
| Single (Neg,Vol)Backbone=RepVGG-A22026.03 | 0.968 | — | 20.2 | |
| Single (Vol)Backbone=RepVGG-A22026.03 | 0.962 | — | 23.1 | |
| ViTBackbone=ViT-S-16, Pre-trained=Imagenet21k2020.12 | 0.96 | 84 | — | |
| CIDERBackbone=ResNet-342026.05 | 0.9516 | — | 23.09 | |
| DRLBackbone=ResNet-342026.05 | 0.9407 | — | 20.15 | |
| KNN+Backbone=ResNet-342026.05 | 0.9278 | — | 39.23 | |
| COMBOODBackbone=RepVGG-A22026.03 | 0.904 | — | 41.5 | |
| ASHBackbone=ResNet-342026.05 | 0.9019 | — | 52.96 | |
| ReActBackbone=ResNet-342026.05 | 0.8875 | — | 50.93 | |
| EnergyBackbone=ResNet-342026.05 | 0.8525 | — | 66.91 | |
| ODINBackbone=ResNet-342026.05 | 0.8488 | — | 70.16 | |
| VimBackbone=ResNet-342026.05 | 0.8462 | — | 73.42 | |
| ViMBackbone=RepVGG-A22026.03 | 0.834 | — | 50.5 | |
| VOSBackbone=ResNet-342026.05 | 0.828 | — | 43.24 | |
| MahalanobisBackbone=RepVGG-A22026.03 | 0.818 | — | 54.4 | |
| SSD+Backbone=ResNet-342026.05 | 0.8062 | — | 87.09 | |
| D-KNNBackbone=RepVGG-A22026.03 | 0.804 | — | 55.9 | |
| MSPBackbone=ResNet-342026.05 | 0.798 | — | 78.89 | |
| MSPBackbone=RepVGG-A22026.03 | 0.783 | — | 54.2 | |
| Energy (T=1)Backbone=RepVGG-A22026.03 | 0.776 | — | 54 | |
| CIDERBackbone=RepVGG-A22026.03 | 0.775 | — | 54.6 | |
| KNN (ℓ2)Backbone=RepVGG-A22026.03 | 0.321 | — | 91.8 |