Near-OOD Detection on Tiny ImageNet Near-OOD (test)
26.53FPR@95NAC-UE
Evaluation results
| Method | Links | ||
|---|---|---|---|
| NAC-UEBackbone=ResNet-18, In-Distribution Dataset=CIFAR-102023.06 | 26.53 | 91.98 | |
| KNNBackbone=ResNet-18, In-Distribution Dataset=CIFAR-102023.06 | 30.37 | 91.56 | |
| RMDSBackbone=ResNet-18, In-Distribution Dataset=CIFAR-102023.06 | 33.91 | 90.76 | |
| OpenMaxBackbone=ResNet-18, In-Distribution Dataset=CIFAR-102023.06 | 39.18 | 88.32 | |
| VIMBackbone=ResNet-18, In-Distribution Dataset=CIFAR-102023.06 | 40.49 | 89.62 | |
| MSPBackbone=ResNet-18, In-Distribution Dataset=CIFAR-102023.06 | 43.27 | 88.87 | |
| TempScaleBackbone=ResNet-18, In-Distribution Dataset=CIFAR-102023.06 | 46.11 | 89 | |
| MDSBackbone=ResNet-18, In-Distribution Dataset=CIFAR-102023.06 | 46.99 | 84.81 | |
| GENBackbone=ResNet-18, In-Distribution Dataset=CIFAR-102023.06 | 48.59 | 89.2 | |
| MLSBackbone=ResNet-18, In-Distribution Dataset=CIFAR-102023.06 | 56.06 | 88.72 | |
| EBOBackbone=ResNet-18, In-Distribution Dataset=CIFAR-102023.06 | 56.08 | 88.8 | |
| RankFeatBackbone=ResNet-18, In-Distribution Dataset=CIFAR-102023.06 | 56.44 | 80.94 | |
| ReActBackbone=ResNet-18, In-Distribution Dataset=CIFAR-102023.06 | 59.71 | 88.29 | |
| DICEBackbone=ResNet-18, In-Distribution Dataset=CIFAR-102023.06 | 66.37 | 79.67 | |
| ODINBackbone=ResNet-18, In-Distribution Dataset=CIFAR-102023.06 | 75.38 | 83.55 | |
| SHEBackbone=ResNet-18, In-Distribution Dataset=CIFAR-102023.06 | 78.3 | 82.76 | |
| KLMBackbone=ResNet-18, In-Distribution Dataset=CIFAR-102023.06 | 85.18 | 80.49 | |
| ASHBackbone=ResNet-18, In-Distribution Dataset=CIFAR-102023.06 | 86.25 | 76.44 | |
| GramBackbone=ResNet-18, In-Distribution Dataset=CIFAR-102023.06 | 90.06 | 58.98 | |
| MDSEnsBackbone=ResNet-18, In-Distribution Dataset=CIFAR-102023.06 | 92.66 | 59.57 | |
| OpenGANBackbone=ResNet-18, In-Distribution Dataset=CIFAR-102023.06 | 94.11 | 54.62 | |
| GradNormBackbone=ResNet-18, In-Distribution Dataset=CIFAR-102023.06 | 94.89 | 55.37 |