OOD Detection on Textures
97.64AUROCDynProto
Evaluation results
| Method | Links | ||
|---|---|---|---|
| DynProtoBackbone=CLIP-RN502026.04 | 97.64 | 10.39 | |
| LoCoOp (GL-MCM)Learning Setup=CLIP Prompt Learning 16-shot2024.05 | 96.87 | — | |
| CLS-MLearning Setup=CLIP Prompt Learning 16-shot, Base Model=Prompt-SRC2024.05 | 96.64 | — | |
| MaxLogitLearning Setup=CLIP Prompt Learning 16-shot2024.05 | 96.21 | — | |
| CLS-ELearning Setup=CLIP Prompt Learning 16-shot, Base Model=Prompt-SRC2024.05 | 95.54 | — | |
| AdaNegLearning Setup=Non-Prompt-Learning Zero-shot CLIP2024.05 | 94.93 | — | |
| EnergyLearning Setup=CLIP Prompt Learning 16-shot2024.05 | 94.57 | — | |
| CSPBackbone=CLIP-RN502026.04 | 92.68 | 31.79 | |
| SHEBackbone=ViT-B/16, ID Accuracy=81.14%, ID Dataset=ImageNet-1K2026.04 | 92.65 | 25.65 | |
| KNNBackbone=ViT-B/16, ID Accuracy=81.14%, ID Dataset=ImageNet-1K2026.04 | 91.12 | 33.23 | |
| EPDBackbone=ViT-B/16, ID Accuracy=81.14%, ID Dataset=ImageNet-1K2026.04 | 91.06 | 30.44 | |
| ViMBackbone=ViT-B/16, ID Accuracy=81.14%, ID Dataset=ImageNet-1K2026.04 | 90.61 | 40.41 | |
| SCTBackbone=CLIP-RN502026.04 | 90.37 | 35.87 | |
| GENBackbone=ViT-B/16, ID Accuracy=81.14%, ID Dataset=ImageNet-1K2026.04 | 90.23 | 38.31 | |
| NegLabelLearning Setup=Non-Prompt-Learning Zero-shot CLIP2024.05 | 90.22 | — | |
| MDSBackbone=ViT-B/16, ID Accuracy=81.14%, ID Dataset=ImageNet-1K2026.04 | 89.41 | 38.9 | |
| RMDSBackbone=ViT-B/16, ID Accuracy=81.14%, ID Dataset=ImageNet-1K2026.04 | 89.38 | 37.23 | |
| LoCoOpBackbone=CLIP-RN502026.04 | 89.22 | 42.96 | |
| NegLabelBackbone=CLIP-RN502026.04 | 88.51 | 50.06 | |
| GLMCMBackbone=CLIP-RN502026.04 | 88.03 | 44.11 | |
| ReActBackbone=ViT-B/16, ID Accuracy=81.14%, ID Dataset=ImageNet-1K2026.04 | 86.66 | 55.87 | |
| MCMLearning Setup=Non-Prompt-Learning Zero-shot CLIP2024.05 | 86.12 | — | |
| OpenMaxBackbone=ViT-B/16, ID Accuracy=81.14%, ID Dataset=ImageNet-1K2026.04 | 85.52 | 73.17 | |
| TempScaleBackbone=ViT-B/16, ID Accuracy=81.14%, ID Dataset=ImageNet-1K2026.04 | 85.39 | 58.22 | |
| MCMBackbone=CLIP-RN502026.04 | 85.29 | 61.28 | |
| MSPBackbone=ViT-B/16, ID Accuracy=81.14%, ID Dataset=ImageNet-1K2026.04 | 85.06 | 56.44 | |
| MLSBackbone=ViT-B/16, ID Accuracy=81.14%, ID Dataset=ImageNet-1K2026.04 | 83.74 | 78.93 | |
| DICEBackbone=ViT-B/16, ID Accuracy=81.14%, ID Dataset=ImageNet-1K2026.04 | 82.21 | 54.79 | |
| EBOBackbone=ViT-B/16, ID Accuracy=81.14%, ID Dataset=ImageNet-1K2026.04 | 81.17 | 83.65 | |
| ASHBackbone=ViT-B/16, ID Accuracy=81.14%, ID Dataset=ImageNet-1K2026.04 | 48.53 | 98.49 | |
| GradNormBackbone=ViT-B/16, ID Accuracy=81.14%, ID Dataset=ImageNet-1K2026.04 | 44.99 | 92.25 |