Out-of-Distribution Detection on DTD Far-OOD
100AUROCE1 normed-fork
Evaluation results
| Method | Links | ||
|---|---|---|---|
| E1 normed-forkBackbone=CLIP, Feature Dimension=512-d2026.05 | 100 | 0 | |
| E2 raw-forkBackbone=DINOv2, Feature Dimension=768-d2026.05 | 100 | 0.1 | |
| Score Network (Hk = 4dk)Hk=4dk2026.05 | 100 | 0 | |
| k-NNBackbone=CLIP, k=502026.05 | 100 | 0 | |
| k-NNBackbone=DINOv2, k=502026.05 | 100 | 0.1 | |
| E3 normed-forkBackbone=ResNet-50, Feature Dimension=2048-d2026.05 | 99.9 | 0.4 | |
| EncMin2L2026.05 | 99.9 | 0 | |
| k-NNBackbone=ResNet-50, k=502026.05 | 99 | 5.1 | |
| Score Network (Hk = 2dk)Hk=2dk2026.05 | 96.1 | 17.1 | |
| MahalanobisBackbone=ResNet-50, In-Distribution Dataset=CIFAR-102026.05 | 95.7 | 21.4 | |
| VDM log pTBackbone=ResNet-182026.05 | 94.6 | 22.7 | |
| DiffPath-6DTraining=CelebA-trained, Zero-shot=true2026.05 | 92.3 | — | |
| Proj. Regret2026.05 | 91 | — | |
| MSPBackbone=ResNet-50, In-Distribution Dataset=CIFAR-102026.05 | 89.9 | 54.8 | |
| EnergyBackbone=ResNet-50, In-Distribution Dataset=CIFAR-102026.05 | 84.9 | 56.2 | |
| EigenScore2026.05 | 75.6 | — |