Out-of-Distribution Detection on CIFAR-100 ID Far-OOD Average OpenOOD v1.5
96.9AUROCOnline Prototype Learning
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| Online Prototype LearningTraining Protocol=Zero-Shot Training-free Methods2026.05 | 96.9 | 21.97 | |
| AdaNeg+NeglabelTraining Protocol=Zero-Shot Training-free Methods2026.05 | 95.25 | 29.35 | |
| NegLabelTraining Protocol=Zero-Shot Training-free Methods2026.05 | 89.68 | 40.92 | |
| GradNormBackbone=ViT-B/16, Pre-trained Model=google/vit-base-patch16-224-in21k, ID Accuracy=84.78%, Evaluation Protocol=fine-tuned2026.04 | 88.84 | 50.57 | |
| ReActBackbone=ViT-B/16, Pre-trained Model=google/vit-base-patch16-224-in21k, ID Accuracy=84.78%, Evaluation Protocol=fine-tuned2026.04 | 88.5 | 48.54 | |
| ViMBackbone=ViT-B/16, Pre-trained Model=google/vit-base-patch16-224-in21k, ID Accuracy=84.78%, Evaluation Protocol=fine-tuned2026.04 | 88.44 | 39.49 | |
| SHEBackbone=ViT-B/16, Pre-trained Model=google/vit-base-patch16-224-in21k, ID Accuracy=84.78%, Evaluation Protocol=fine-tuned2026.04 | 87.59 | 63.72 | |
| KNNBackbone=ViT-B/16, Pre-trained Model=google/vit-base-patch16-224-in21k, ID Accuracy=84.78%, Evaluation Protocol=fine-tuned2026.04 | 87.43 | 46.54 | |
| EPDBackbone=ViT-B/16, Pre-trained Model=google/vit-base-patch16-224-in21k, ID Accuracy=84.78%, Evaluation Protocol=fine-tuned2026.04 | 87.02 | 46.47 | |
| EBOBackbone=ViT-B/16, Pre-trained Model=google/vit-base-patch16-224-in21k, ID Accuracy=84.78%, Evaluation Protocol=fine-tuned2026.04 | 86.86 | 54.22 | |
| GENBackbone=ViT-B/16, Pre-trained Model=google/vit-base-patch16-224-in21k, ID Accuracy=84.78%, Evaluation Protocol=fine-tuned2026.04 | 86.77 | 54.42 | |
| MLSBackbone=ViT-B/16, Pre-trained Model=google/vit-base-patch16-224-in21k, ID Accuracy=84.78%, Evaluation Protocol=fine-tuned2026.04 | 86.52 | 54.3 | |
| RMDSBackbone=ViT-B/16, Pre-trained Model=google/vit-base-patch16-224-in21k, ID Accuracy=84.78%, Evaluation Protocol=fine-tuned2026.04 | 86.25 | 43.47 | |
| DICEBackbone=ViT-B/16, Pre-trained Model=google/vit-base-patch16-224-in21k, ID Accuracy=84.78%, Evaluation Protocol=fine-tuned2026.04 | 85.39 | 60.84 | |
| TempScaleBackbone=ViT-B/16, Pre-trained Model=google/vit-base-patch16-224-in21k, ID Accuracy=84.78%, Evaluation Protocol=fine-tuned2026.04 | 84.4 | 56.71 | |
| MDSBackbone=ViT-B/16, Pre-trained Model=google/vit-base-patch16-224-in21k, ID Accuracy=84.78%, Evaluation Protocol=fine-tuned2026.04 | 83.61 | 48.5 | |
| MSPBackbone=ViT-B/16, Pre-trained Model=google/vit-base-patch16-224-in21k, ID Accuracy=84.78%, Evaluation Protocol=fine-tuned2026.04 | 82.62 | 58.8 | |
| OpenMaxBackbone=ViT-B/16, Pre-trained Model=google/vit-base-patch16-224-in21k, ID Accuracy=84.78%, Evaluation Protocol=fine-tuned2026.04 | 81.8 | 63.62 | |
| SCALETraining Protocol=Methods requiring training (or fine-tuning)2026.05 | 81.42 | — | |
| OE + MSPTraining Protocol=Methods requiring training (or fine-tuning)2026.05 | 81.41 | — | |
| VOS + EBOTraining Protocol=Methods requiring training (or fine-tuning)2026.05 | 81.32 | — | |
| GENTraining Protocol=Methods requiring training (or fine-tuning)2026.05 | 79.68 | — | |
| MCMTraining Protocol=Zero-Shot Training-free Methods2026.05 | 76 | 59.32 | |
| ASHBackbone=ViT-B/16, Pre-trained Model=google/vit-base-patch16-224-in21k, ID Accuracy=84.78%, Evaluation Protocol=fine-tuned2026.04 | 56.24 | 85.13 |