OOD Detection on CIFAR100 Dfar
86.98AUROCNAC
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| NACBackbone=ResNet182024.05 | 86.98 | — | |
| G-ODINLearning Setup=Training methods without outliers2025.11 | 85.67 | 42.68 | |
| G-ODINMethod Category=Training methods without outliers2025.11 | 85.67 | 42.68 | |
| RankOODLearning Setup=Training methods without outliers2025.11 | 83.63 | 47.44 | |
| RankOODMethod Category=Training methods without outliers2025.11 | 83.63 | 47.44 | |
| RMDSBackbone=ResNet182024.05 | 82.92 | 52.81 | |
| RMDSLearning Setup=Post-hoc inference methods2025.11 | 82.92 | 52.81 | |
| RMDSMethod Category=Post-hoc inference methods2025.11 | 82.92 | 52.81 | |
| KNNBackbone=ResNet182024.05 | 82.4 | 53.65 | |
| KNNLearning Setup=Post-hoc inference methods2025.11 | 82.4 | 53.65 | |
| KNNMethod Category=Post-hoc inference methods2025.11 | 82.4 | 53.65 | |
| ExCeLLearning Setup=Post-hoc inference methods2025.11 | 82.04 | 52.24 | |
| ExCeLMethod Category=Post-hoc inference methods2025.11 | 82.04 | 52.24 | |
| CRAFTLearning Setup=Training methods without outliers2025.11 | 82.03 | 51.86 | |
| CRAFTMethod Category=Training methods without outliers2025.11 | 82.03 | 51.86 | |
| VIMBackbone=ResNet182024.05 | 81.7 | 50.74 | |
| VIMLearning Setup=Post-hoc inference methods2025.11 | 81.7 | 50.74 | |
| VIMMethod Category=Post-hoc inference methods2025.11 | 81.7 | 50.74 | |
| LogitNormLearning Setup=Training methods without outliers2025.11 | 81.53 | 53.61 | |
| LogitNormMethod Category=Training methods without outliers2025.11 | 81.53 | 53.61 | |
| OELearning Setup=Training methods with outliers2025.11 | 81.41 | 54.82 | |
| OEMethod Category=Training methods with outliers2025.11 | 81.41 | 54.82 | |
| ASHBackbone=ResNet182024.05 | 80.58 | 59.2 | |
| ASHLearning Setup=Post-hoc inference methods2025.11 | 80.58 | 59.2 | |
| ASHMethod Category=Post-hoc inference methods2025.11 | 80.58 | 59.2 | |
| CIDERLearning Setup=Training methods without outliers2025.11 | 80.49 | 54.22 | |
| CIDERMethod Category=Training methods without outliers2025.11 | 80.49 | 54.22 | |
| ReActBackbone=ResNet182024.05 | 80.39 | 54.2 | |
| ReActLearning Setup=Post-hoc inference methods2025.11 | 80.39 | 54.2 | |
| ReActMethod Category=Post-hoc inference methods2025.11 | 80.39 | 54.2 | |
| WeiPer+ReActBackbone=ResNet182024.05 | 80.31 | 55.61 | |
| MOSMethod Category=Training methods without outliers2025.11 | 80.17 | 57.28 | |
| DICEMethod Category=Post-hoc inference methods2025.11 | 80.01 | 56.25 | |
| WeiPer+MSPBackbone=ResNet182024.05 | 79.95 | 57 | |
| EBOLearning Setup=Post-hoc inference methods2025.11 | 79.77 | 56.59 | |
| EBOMethod Category=Post-hoc inference methods2025.11 | 79.77 | 56.59 | |
| GENBackbone=ResNet182024.05 | 79.68 | 56.71 | |
| GENLearning Setup=Post-hoc inference methods2025.11 | 79.68 | 56.71 | |
| GENMethod Category=Post-hoc inference methods2025.11 | 79.68 | 56.71 | |
| MLSLearning Setup=Post-hoc inference methods2025.11 | 79.67 | 56.73 | |
| MLSMethod Category=Post-hoc inference methods2025.11 | 79.67 | 56.73 | |
| UDGLearning Setup=Training methods with outliers2025.11 | 79.59 | 59 | |
| UDGMethod Category=Training methods with outliers2025.11 | 79.59 | 59 | |
| OpenMaxMethod Category=Post-hoc inference methods2025.11 | 79.48 | 54.5 | |
| ODINMethod Category=Post-hoc inference methods2025.11 | 79.28 | 58.86 | |
| WeiPer+KLDBackbone=ResNet182024.05 | 79.01 | 57.96 | |
| TempScaleLearning Setup=Post-hoc inference methods2025.11 | 78.74 | 57.94 | |
| TempScaleMethod Category=Post-hoc inference methods2025.11 | 78.74 | 57.94 | |
| MSPBackbone=ResNet182024.05 | 77.76 | 58.7 | |
| MSPLearning Setup=Post-hoc inference methods2025.11 | 77.76 | 58.7 | |
| MSPMethod Category=Post-hoc inference methods2025.11 | 77.76 | 58.7 | |
| SHEMethod Category=Post-hoc inference methods2025.11 | 76.92 | 64.12 | |
| MixOELearning Setup=Training methods with outliers2025.11 | 76.4 | 63.88 | |
| MixOEMethod Category=Training methods with outliers2025.11 | 76.4 | 63.88 | |
| KLMMethod Category=Post-hoc inference methods2025.11 | 76.24 | 71.65 | |
| MCDLearning Setup=Training methods with outliers2025.11 | 74.72 | 54.39 | |
| MCDMethod Category=Training methods with outliers2025.11 | 74.72 | 54.39 | |
| ARPLMethod Category=Training methods without outliers2025.11 | 73.69 | 63.14 | |
| GramMethod Category=Post-hoc inference methods2025.11 | 73.36 | 64.44 | |
| MDSMethod Category=Post-hoc inference methods2025.11 | 69.39 | 72.26 | |
| GradNormMethod Category=Post-hoc inference methods2025.11 | 69.14 | 83.68 | |
| KLDBackbone=ResNet182024.05 | 68.95 | 71.7 | |
| ConfBranchLearning Setup=Training methods without outliers2025.11 | 68.9 | 71.82 | |
| ConfBranchMethod Category=Training methods without outliers2025.11 | 68.9 | 71.82 | |
| OpenGANMethod Category=Post-hoc inference methods2025.11 | 67.88 | 70.49 | |
| RPBackbone=ResNet182024.05 | 67.23 | 77.25 | |
| RankFeatMethod Category=Post-hoc inference methods2025.11 | 67.1 | 69.45 | |
| CSIMethod Category=Training methods without outliers2025.11 | 66.31 | 76.92 | |
| MDSEnsMethod Category=Post-hoc inference methods2025.11 | 66 | 66.74 |