Out-of-Distribution Detection on CIFAR100 (ID Dnear OOD)
81.37AUROCWeiPer+KLD
Evaluation results
| Method | Links | ||
|---|---|---|---|
| WeiPer+KLDBackbone=ResNet182024.05 | 81.37 | 54.34 | |
| WeiPer+MSPBackbone=ResNet182024.05 | 81.32 | 54.49 | |
| GENBackbone=ResNet182024.05 | 81.31 | 54.42 | |
| WeiPer+ReActBackbone=ResNet182024.05 | 81.2 | 55.03 | |
| MLSBackbone=ResNet182024.05 | 81.05 | 55.47 | |
| EBOBackbone=ResNet182024.05 | 80.91 | 55.62 | |
| TempScaleBackbone=ResNet182024.05 | 80.9 | 54.49 | |
| ReActBackbone=ResNet182024.05 | 80.77 | 56.39 | |
| MSPBackbone=ResNet182024.05 | 80.27 | 54.8 | |
| KNNBackbone=ResNet182024.05 | 80.18 | 61.22 | |
| RMDSBackbone=ResNet182024.05 | 80.15 | 55.46 | |
| WeiPer+KLDBackbone=ResNet50, Training Loss=Cross Entropy, Preprocessing=Standard Preprocessing2024.05 | 80.05 | 61.39 | |
| ODINBackbone=ResNet182024.05 | 79.9 | 57.91 | |
| DICEBackbone=ResNet182024.05 | 79.38 | 57.95 | |
| SHEBackbone=ResNet182024.05 | 78.95 | 59.07 | |
| ASHBackbone=ResNet182024.05 | 78.2 | 65.71 | |
| ASHBackbone=ResNet50, Training Loss=Cross Entropy, Preprocessing=Standard Preprocessing2024.05 | 78.17 | 63.32 | |
| WeiPer+MSPBackbone=ResNet50, Training Loss=Cross Entropy, Preprocessing=Standard Preprocessing2024.05 | 77.68 | 63.84 | |
| ReActBackbone=ResNet50, Training Loss=Cross Entropy, Preprocessing=Standard Preprocessing2024.05 | 77.38 | 66.69 | |
| TempScaleBackbone=ResNet50, Training Loss=Cross Entropy, Preprocessing=Standard Preprocessing2024.05 | 77.14 | 64.5 | |
| RMDSBackbone=ResNet50, Training Loss=Cross Entropy, Preprocessing=Standard Preprocessing2024.05 | 76.99 | 65.04 | |
| GENBackbone=ResNet50, Training Loss=Cross Entropy, Preprocessing=Standard Preprocessing2024.05 | 76.85 | 65.32 | |
| WeiPer+ReActBackbone=ResNet50, Training Loss=Cross Entropy, Preprocessing=Standard Preprocessing2024.05 | 76.85 | 66.87 | |
| KLMBackbone=ResNet50, Training Loss=Cross Entropy, Preprocessing=Standard Preprocessing2024.05 | 76.64 | 72.54 | |
| KLMBackbone=ResNet182024.05 | 76.56 | 77.92 | |
| MLSBackbone=ResNet50, Training Loss=Cross Entropy, Preprocessing=Standard Preprocessing2024.05 | 76.46 | 67.82 | |
| OpenMaxBackbone=ResNet182024.05 | 76.41 | 56.58 | |
| MSPBackbone=ResNet50, Training Loss=Cross Entropy, Preprocessing=Standard Preprocessing2024.05 | 76.02 | 65.68 | |
| EBOBackbone=ResNet50, Training Loss=Cross Entropy, Preprocessing=Standard Preprocessing2024.05 | 75.89 | 68.56 | |
| VIMBackbone=ResNet182024.05 | 74.98 | 62.63 | |
| OpenMaxBackbone=ResNet50, Training Loss=Cross Entropy, Preprocessing=Standard Preprocessing2024.05 | 74.77 | 69.07 | |
| ODINBackbone=ResNet50, Training Loss=Cross Entropy, Preprocessing=Standard Preprocessing2024.05 | 74.75 | 72.5 | |
| SHEBackbone=ResNet50, Training Loss=Cross Entropy, Preprocessing=Standard Preprocessing2024.05 | 73.78 | 73.01 | |
| DICEBackbone=ResNet50, Training Loss=Cross Entropy, Preprocessing=Standard Preprocessing2024.05 | 73.07 | 72.43 | |
| GradNormBackbone=ResNet50, Training Loss=Cross Entropy, Preprocessing=Standard Preprocessing2024.05 | 72.96 | 78.89 | |
| VIMBackbone=ResNet50, Training Loss=Cross Entropy, Preprocessing=Standard Preprocessing2024.05 | 72.08 | 71.35 | |
| KNNBackbone=ResNet50, Training Loss=Cross Entropy, Preprocessing=Standard Preprocessing2024.05 | 71.1 | 70.87 | |
| GradNormBackbone=ResNet182024.05 | 70.13 | 85.58 | |
| OpenGANBackbone=ResNet182024.05 | 65.98 | 76.52 | |
| RankFeatBackbone=ResNet182024.05 | 61.88 | 80.59 | |
| GramBackbone=ResNet50, Training Loss=Cross Entropy, Preprocessing=Standard Preprocessing2024.05 | 61.7 | 86.63 | |
| MDSBackbone=ResNet182024.05 | 58.69 | 83.53 | |
| MDSBackbone=ResNet50, Training Loss=Cross Entropy, Preprocessing=Standard Preprocessing2024.05 | 55.44 | 85.45 | |
| GramBackbone=ResNet182024.05 | 51.66 | 92.28 | |
| RankFeatBackbone=ResNet50, Training Loss=Cross Entropy, Preprocessing=Standard Preprocessing2024.05 | 50.99 | 91.83 | |
| MDSEnsBackbone=ResNet50, Training Loss=Cross Entropy, Preprocessing=Standard Preprocessing2024.05 | 49.67 | 93.52 | |
| MDSEnsBackbone=ResNet182024.05 | 46.31 | 95.88 |