Near-OOD Detection on CIFAR-100 (test)
89.78AUROCNAC-UE
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| NAC-UEBackbone=ResNet-18, In-Distribution Dataset=CIFAR-102023.06 | 89.78 | 35.06 | |
| KNNBackbone=ResNet-18, In-Distribution Dataset=CIFAR-102023.06 | 89.73 | 37.64 | |
| RMDSBackbone=ResNet-18, In-Distribution Dataset=CIFAR-102023.06 | 88.83 | 43.86 | |
| OECategory=With outliers2025.11 | 88.3 | 30.73 | |
| OEMethod category=Training methods with outliers2025.11 | 88.3 | 30.73 | |
| VIMBackbone=ResNet-18, In-Distribution Dataset=CIFAR-102023.06 | 87.75 | 49.19 | |
| GENBackbone=ResNet-18, In-Distribution Dataset=CIFAR-102023.06 | 87.21 | 58.75 | |
| MSPBackbone=ResNet-18, In-Distribution Dataset=CIFAR-102023.06 | 87.19 | 53.08 | |
| TempScaleBackbone=ResNet-18, In-Distribution Dataset=CIFAR-102023.06 | 87.17 | 55.81 | |
| OpenMaxBackbone=ResNet-18, In-Distribution Dataset=CIFAR-102023.06 | 86.91 | 48.06 | |
| EBOBackbone=ResNet-18, In-Distribution Dataset=CIFAR-102023.06 | 86.36 | 66.6 | |
| MLSBackbone=ResNet-18, In-Distribution Dataset=CIFAR-102023.06 | 86.31 | 66.59 | |
| ReActBackbone=ResNet-18, In-Distribution Dataset=CIFAR-102023.06 | 85.93 | 67.4 | |
| MDSBackbone=ResNet-18, In-Distribution Dataset=CIFAR-102023.06 | 83.59 | 52.81 | |
| ODINBackbone=ResNet-18, In-Distribution Dataset=CIFAR-102023.06 | 82.18 | 77 | |
| GENArchitecture=ResNet2026.03 | 81.31 | 54.42 | |
| GENCategory=Post-hoc inference2025.11 | 81.31 | 54.42 | |
| GENMethod category=Post-hoc inference methods2025.11 | 81.31 | 54.42 | |
| MLSCategory=Post-hoc inference2025.11 | 81.05 | 55.47 | |
| MLSMethod category=Post-hoc inference methods2025.11 | 81.05 | 55.47 | |
| SCALEArchitecture=ResNet2026.03 | 80.99 | — | |
| MixOECategory=With outliers2025.11 | 80.95 | 55.22 | |
| MixOEMethod category=Training methods with outliers2025.11 | 80.95 | 55.22 | |
| EBOCategory=Post-hoc inference2025.11 | 80.91 | 55.62 | |
| EBOMethod category=Post-hoc inference methods2025.11 | 80.91 | 55.62 | |
| TempScaleCategory=Post-hoc inference2025.11 | 80.9 | 54.49 | |
| CRAFTCategory=Without outliers2025.11 | 80.9 | 53.73 | |
| TempScaleMethod category=Post-hoc inference methods2025.11 | 80.9 | 54.49 | |
| CRAFTMethod category=Training methods without outliers2025.11 | 80.9 | 53.73 | |
| ReActCategory=Post-hoc inference2025.11 | 80.77 | 56.39 | |
| ReActMethod category=Post-hoc inference methods2025.11 | 80.77 | 56.39 | |
| ExCeLCategory=Post-hoc inference2025.11 | 80.7 | 55.21 | |
| ExCeLMethod category=Post-hoc inference methods2025.11 | 80.7 | 55.21 | |
| RankOODCategory=Without outliers2025.11 | 80.67 | 52.59 | |
| RankOODMethod category=Training methods without outliers2025.11 | 80.67 | 52.59 | |
| MOSCategory=Without outliers2025.11 | 80.4 | 56.05 | |
| SHEBackbone=ResNet-18, In-Distribution Dataset=CIFAR-102023.06 | 80.31 | 81 | |
| MSPArchitecture=ResNet2026.03 | 80.27 | 54.8 | |
| MSPCategory=Post-hoc inference2025.11 | 80.27 | 54.8 | |
| MSPMethod category=Post-hoc inference methods2025.11 | 80.27 | 54.8 | |
| AggBBAS-EDArchitecture=ResNet2026.03 | 80.26 | 57.26 | |
| KNNArchitecture=ResNet2026.03 | 80.18 | 61.22 | |
| KNNCategory=Post-hoc inference2025.11 | 80.18 | 61.22 | |
| KNNMethod category=Post-hoc inference methods2025.11 | 80.18 | 61.22 | |
| RMDSArchitecture=ResNet2026.03 | 80.15 | 55.46 | |
| RMDSCategory=Post-hoc inference2025.11 | 80.15 | 55.46 | |
| RMDSMethod category=Post-hoc inference methods2025.11 | 80.15 | 55.46 | |
| AggBBAS-ECArchitecture=ResNet2026.03 | 79.96 | 58.23 | |
| ODINArchitecture=ResNet2026.03 | 79.9 | 57.91 | |
| ODINCategory=Post-hoc inference2025.11 | 79.9 | 57.91 | |
| DICECategory=Post-hoc inference2025.11 | 79.38 | 57.95 | |
| SHEArchitecture=ResNet2026.03 | 78.95 | 59.07 | |
| SHECategory=Post-hoc inference2025.11 | 78.95 | 59.07 | |
| LogitNormCategory=Without outliers2025.11 | 78.47 | 62.89 | |
| LogitNormMethod category=Training methods without outliers2025.11 | 78.47 | 62.89 | |
| ASHArchitecture=ResNet2026.03 | 78.2 | 65.71 | |
| ASHCategory=Post-hoc inference2025.11 | 78.2 | 65.71 | |
| ASHMethod category=Post-hoc inference methods2025.11 | 78.2 | 65.71 | |
| UDGCategory=With outliers2025.11 | 78.02 | 61.42 | |
| UDGMethod category=Training methods with outliers2025.11 | 78.02 | 61.42 | |
| RankFeatBackbone=ResNet-18, In-Distribution Dataset=CIFAR-102023.06 | 77.98 | 65.32 | |
| KLMBackbone=ResNet-18, In-Distribution Dataset=CIFAR-102023.06 | 77.89 | 90.55 | |
| BBAS-ECArchitecture=ResNet2026.03 | 77.45 | 60.74 | |
| BBAS-EDArchitecture=ResNet2026.03 | 77.34 | 60.58 | |
| G-ODINCategory=Without outliers2025.11 | 77.15 | 67.58 | |
| G-ODINMethod category=Training methods without outliers2025.11 | 77.15 | 67.58 | |
| MCDCategory=With outliers2025.11 | 77.07 | 55.88 | |
| MCDMethod category=Training methods with outliers2025.11 | 77.07 | 55.88 | |
| DICEBackbone=ResNet-18, In-Distribution Dataset=CIFAR-102023.06 | 77.01 | 73.71 | |
| KLMCategory=Post-hoc inference2025.11 | 76.56 | 77.92 | |
| OpenMaxCategory=Post-hoc inference2025.11 | 76.41 | 56.58 | |
| VIMArchitecture=ResNet2026.03 | 74.98 | 62.63 | |
| VIMCategory=Post-hoc inference2025.11 | 74.98 | 62.63 | |
| VIMMethod category=Post-hoc inference methods2025.11 | 74.98 | 62.63 | |
| ARPLCategory=Without outliers2025.11 | 74.94 | 61.56 | |
| ASHBackbone=ResNet-18, In-Distribution Dataset=CIFAR-102023.06 | 74.11 | 87.31 | |
| CIDERCategory=Without outliers2025.11 | 73.1 | 72.02 | |
| CIDERMethod category=Training methods without outliers2025.11 | 73.1 | 72.02 | |
| ConfBranchCategory=Without outliers2025.11 | 71.6 | 70.21 | |
| ConfBranchMethod category=Training methods without outliers2025.11 | 71.6 | 70.21 | |
| CSICategory=Without outliers2025.11 | 71.45 | 70.26 | |
| GradNormCategory=Post-hoc inference2025.11 | 70.13 | 85.58 | |
| OpenGANCategory=Post-hoc inference2025.11 | 65.98 | 76.52 | |
| RankFeatCategory=Post-hoc inference2025.11 | 61.88 | 80.59 | |
| MDSEnsBackbone=ResNet-18, In-Distribution Dataset=CIFAR-102023.06 | 61.29 | 91.87 | |
| MDSArchitecture=ResNet2026.03 | 58.69 | 83.53 | |
| MDSCategory=Post-hoc inference2025.11 | 58.69 | 83.53 | |
| GramBackbone=ResNet-18, In-Distribution Dataset=CIFAR-102023.06 | 58.33 | 91.68 | |
| GradNormBackbone=ResNet-18, In-Distribution Dataset=CIFAR-102023.06 | 54.43 | 94.54 | |
| OpenGANBackbone=ResNet-18, In-Distribution Dataset=CIFAR-102023.06 | 52.81 | 94.84 | |
| GramCategory=Post-hoc inference2025.11 | 51.66 | 92.28 | |
| MDSEnsArchitecture=ResNet2026.03 | 46.31 | 95.88 | |
| MDSEnsCategory=Post-hoc inference2025.11 | 46.31 | 95.88 |