Out-of-Distribution Detection on Dfar
0.9574AUROCASH
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| ASHBackbone=ResNet50, Training Loss=Cross Entropy, Preprocessing=Standard Preprocessing2024.05 | 0.9574 | 19.49 | |
| WeiPer+KLDBackbone=ResNet50, Training Loss=Cross Entropy, Preprocessing=Standard Preprocessing2024.05 | 0.9554 | 22.08 | |
| NACBackbone=ResNet50, Training Loss=Cross Entropy, Preprocessing=Standard Preprocessing2024.05 | 0.9529 | — | |
| ReActBackbone=ResNet50, Training Loss=Cross Entropy, Preprocessing=Standard Preprocessing2024.05 | 0.9367 | 26.31 | |
| NACBackbone=ViT16-B, Training Objective=Cross Entropy, Preprocessing=standard2024.05 | 0.9316 | — | |
| WeiPer+ReActBackbone=ResNet50, Training Loss=Cross Entropy, Preprocessing=Standard Preprocessing2024.05 | 0.9309 | 29.83 | |
| VIMBackbone=ViT16-B, Training Objective=Cross Entropy, Preprocessing=standard2024.05 | 0.9284 | 29.18 | |
| VIMBackbone=ResNet50, Training Loss=Cross Entropy, Preprocessing=Standard Preprocessing2024.05 | 0.9268 | 24.67 | |
| MDSBackbone=ViT16-B, Training Objective=Cross Entropy, Preprocessing=standard2024.05 | 0.926 | 29.97 | |
| RMDSBackbone=ViT16-B, Training Objective=Cross Entropy, Preprocessing=standard2024.05 | 0.926 | 28.76 | |
| SHEBackbone=ViT16-B, Training Objective=Cross Entropy, Preprocessing=standard2024.05 | 0.9242 | 27.12 | |
| GENBackbone=ViT16-B, Training Objective=Cross Entropy, Preprocessing=standard2024.05 | 0.9135 | 32.23 | |
| DICEBackbone=ResNet50, Training Loss=Cross Entropy, Preprocessing=Standard Preprocessing2024.05 | 0.9095 | 41.83 | |
| SHEBackbone=ResNet50, Training Loss=Cross Entropy, Preprocessing=Standard Preprocessing2024.05 | 0.9092 | 41.45 | |
| KNNBackbone=ViT16-B, Training Objective=Cross Entropy, Preprocessing=standard2024.05 | 0.9081 | 31.93 | |
| WeiPer+KLDBackbone=ViT16-B, Training Objective=Cross Entropy, Preprocessing=standard2024.05 | 0.9032 | 38.16 | |
| GradNormBackbone=ResNet50, Training Loss=Cross Entropy, Preprocessing=Standard Preprocessing2024.05 | 0.9025 | 47.92 | |
| KNNBackbone=ResNet50, Training Loss=Cross Entropy, Preprocessing=Standard Preprocessing2024.05 | 0.9018 | 34.13 | |
| GENBackbone=ResNet50, Training Loss=Cross Entropy, Preprocessing=Standard Preprocessing2024.05 | 0.8976 | 35.61 | |
| MLSBackbone=ResNet50, Training Loss=Cross Entropy, Preprocessing=Standard Preprocessing2024.05 | 0.8957 | 38.22 | |
| ODINBackbone=ResNet50, Training Loss=Cross Entropy, Preprocessing=Standard Preprocessing2024.05 | 0.8947 | 43.96 | |
| EBOBackbone=ResNet50, Training Loss=Cross Entropy, Preprocessing=Standard Preprocessing2024.05 | 0.8947 | 38.39 | |
| WeiPer+ReActBackbone=ViT16-B, Training Objective=Cross Entropy, Preprocessing=standard2024.05 | 0.8945 | 41.22 | |
| WeiPer+MSPBackbone=ResNet50, Training Loss=Cross Entropy, Preprocessing=Standard Preprocessing2024.05 | 0.8933 | 41.56 | |
| OpenMaxBackbone=ViT16-B, Training Objective=Cross Entropy, Preprocessing=standard2024.05 | 0.8927 | 55.5 | |
| OpenMaxBackbone=ResNet50, Training Loss=Cross Entropy, Preprocessing=Standard Preprocessing2024.05 | 0.8926 | 34.31 | |
| WeiPer+MSPBackbone=ViT16-B, Training Objective=Cross Entropy, Preprocessing=standard2024.05 | 0.8915 | 43.49 | |
| KLMBackbone=ViT16-B, Training Objective=Cross Entropy, Preprocessing=standard2024.05 | 0.877 | 48.45 | |
| KLMBackbone=ResNet50, Training Loss=Cross Entropy, Preprocessing=Standard Preprocessing2024.05 | 0.876 | 46.6 | |
| TempScaleBackbone=ResNet50, Training Loss=Cross Entropy, Preprocessing=Standard Preprocessing2024.05 | 0.8756 | 46.64 | |
| RMDSBackbone=ResNet50, Training Loss=Cross Entropy, Preprocessing=Standard Preprocessing2024.05 | 0.8638 | 40.91 | |
| TempScaleBackbone=ViT16-B, Training Objective=Cross Entropy, Preprocessing=standard2024.05 | 0.8632 | 53.74 | |
| MSPBackbone=ViT16-B, Training Objective=Cross Entropy, Preprocessing=standard2024.05 | 0.8604 | 51.69 | |
| ReActBackbone=ViT16-B, Training Objective=Cross Entropy, Preprocessing=standard2024.05 | 0.8569 | 53.93 | |
| MSPBackbone=ResNet50, Training Loss=Cross Entropy, Preprocessing=Standard Preprocessing2024.05 | 0.8523 | 51.45 | |
| MLSBackbone=ViT16-B, Training Objective=Cross Entropy, Preprocessing=standard2024.05 | 0.8354 | 79.23 | |
| DICEBackbone=ViT16-B, Training Objective=Cross Entropy, Preprocessing=standard2024.05 | 0.8231 | 51.77 | |
| GramBackbone=ResNet50, Training Loss=Cross Entropy, Preprocessing=Standard Preprocessing2024.05 | 0.7971 | 67.36 | |
| EBOBackbone=ViT16-B, Training Objective=Cross Entropy, Preprocessing=standard2024.05 | 0.7898 | 85.35 | |
| MDSBackbone=ResNet50, Training Loss=Cross Entropy, Preprocessing=Standard Preprocessing2024.05 | 0.7425 | 62.92 | |
| MDSEnsBackbone=ResNet50, Training Loss=Cross Entropy, Preprocessing=Standard Preprocessing2024.05 | 0.6752 | 82.77 | |
| RankFeatBackbone=ResNet50, Training Loss=Cross Entropy, Preprocessing=Standard Preprocessing2024.05 | 0.5393 | 87.17 | |
| ASHBackbone=ViT16-B, Training Objective=Cross Entropy, Preprocessing=standard2024.05 | 0.5156 | 96.77 | |
| GradNormBackbone=ViT16-B, Training Objective=Cross Entropy, Preprocessing=standard2024.05 | 0.4175 | 92.65 |