Out-of-Distribution Detection on CIFAR 100 Near OOD
97.6AUROCk-NN
Evaluation results
| Method | Links | ||
|---|---|---|---|
| k-NNBackbone=DINOv2, k=502026.05 | 97.6 | 11 | |
| E2 raw-forkBackbone=DINOv2, Feature Dimension=768-d2026.05 | 96.4 | 16.3 | |
| EncMin2L2026.05 | 94.2 | 25.5 | |
| k-NNBackbone=CLIP, k=502026.05 | 91.1 | 43.9 | |
| Score Network (Hk = 4dk)Hk=4dk2026.05 | 89.5 | 38.8 | |
| OCLMethod Category=Outlier Exposure2026.05 | 88.91 | 30.49 | |
| MSPBackbone=ResNet-50, In-Distribution Dataset=CIFAR-102026.05 | 88.5 | 59.9 | |
| VDM log pTBackbone=ResNet-182026.05 | 88.5 | 44.1 | |
| AOE-JtMethod Category=Outlier Exposure, Training Strategy=joint training2026.05 | 88.32 | 30.09 | |
| OEMethod Category=Outlier Exposure2026.05 | 88.3 | 30.73 | |
| AOE-AtMethod Category=Outlier Exposure, Training Strategy=alternating training2026.05 | 88.24 | 30.56 | |
| EigenScore2026.05 | 88 | — | |
| DOEMethod Category=Outlier Exposure2026.05 | 86.61 | 37.84 | |
| EnergyBackbone=ResNet-50, In-Distribution Dataset=CIFAR-102026.05 | 86.2 | 53.3 | |
| DALMethod Category=Outlier Exposure2026.05 | 85.97 | 35.28 | |
| E1 normed-forkBackbone=CLIP, Feature Dimension=512-d2026.05 | 84.1 | 47.9 | |
| MahalanobisBackbone=ResNet-50, In-Distribution Dataset=CIFAR-102026.05 | 83 | 67.6 | |
| TTLExtra Resources=No2026.04 | 82.33 | 52.34 | |
| PSKDMethod Category=Training-time regularization2026.05 | 81.45 | 54.83 | |
| MixOEMethod Category=Outlier Exposure2026.05 | 80.95 | 55.22 | |
| EnergyMethod Category=Post-hoc2026.05 | 80.91 | 55.62 | |
| MSPMethod Category=Post-hoc2026.05 | 80.27 | 54.8 | |
| T2FNormMethod Category=Training-time regularization2026.05 | 79.84 | 58.47 | |
| UMAPMethod Category=Training-time regularization2026.05 | 79.49 | 59.71 | |
| LogitNormMethod Category=Training-time regularization2026.05 | 78.47 | 62.89 | |
| AdaNegExtra Resources=Yes2026.04 | 77.56 | 71.62 | |
| k-NNBackbone=ResNet-50, k=502026.05 | 77.5 | 78.4 | |
| Proj. Regret2026.05 | 77.5 | — | |
| UMMethod Category=Training-time regularization2026.05 | 77.14 | 65.86 | |
| E3 normed-forkBackbone=ResNet-50, Feature Dimension=2048-d2026.05 | 77 | 61.3 | |
| NeglabelExtra Resources=Yes2026.04 | 71.9 | 77.54 | |
| MCMExtra Resources=No2026.04 | 70.53 | 91.01 | |
| AdaNDExtra Resources=No2026.04 | 70.27 | 78.45 | |
| OODDExtra Resources=No2026.04 | 70.23 | 91.52 | |
| Score Network (Hk = 2dk)Hk=2dk2026.05 | 61.7 | 98.1 | |
| LMD2026.05 | 60.7 | — | |
| DiffPath-6DTraining=CelebA-trained, Zero-shot=true2026.05 | 59 | — | |
| DM Dual Threshold2026.05 | 56 | — |