Out-of-Distribution Detection on CIFAR-100 vs LSUN R
99.9AUROCDynProto
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| DynProtoBackbone=DenseNet-101, External Text=False2026.04 | 99.9 | — | — | 0.39 | |
| OursModel Architecture=DenseNet2019.12 | 99.3 | 97.2 | 96.4 | — | |
| OursModel Architecture=ResNet2019.12 | 99.2 | 96.6 | 96.7 | — | |
| DynProtoBackbone=CLIP-B/16, External Text=False2026.04 | 98.97 | — | — | 4.01 | |
| MahalanobisModel Architecture=ResNet2019.12 | 98.2 | 90.9 | 93.5 | — | |
| MahalanobisModel Architecture=DenseNet2019.12 | 98 | 91.4 | 93.9 | — | |
| AdaNDBackbone=CLIP-B/16, External Text=False2026.04 | 96.75 | — | — | 12.05 | |
| VIMBackbone=DenseNet-101, External Text=False2026.04 | 95.5 | — | — | 24.65 | |
| GAIA-ZArchitecture=ResNet-34 (TIMM), Labels=false2025.05 | 94.66 | — | — | 28.51 | |
| CADRefBackbone=DenseNet-101, External Text=False2026.04 | 90.26 | — | — | 47.45 | |
| Revisited PCAArchitecture=ResNetV2-50 (BiT-M), Labels=false2025.05 | 90.04 | — | — | 39.74 | |
| CSPBackbone=CLIP-B/16, External Text=True2026.04 | 89.81 | — | — | 66.43 | |
| ASH-SBackbone=DenseNet-101, External Text=False2026.04 | 89.54 | — | — | 54.06 | |
| DICEBackbone=DenseNet-101, External Text=False2026.04 | 88.23 | — | — | 55.03 | |
| NegLabelBackbone=CLIP-B/16, External Text=True2026.04 | 88.11 | — | — | 68.53 | |
| FABackbone=CLIP-B/16, External Text=False2026.04 | 87.86 | — | — | 55.24 | |
| LoCoOpBackbone=CLIP-B/16, External Text=False2026.04 | 87.75 | — | — | 57.01 | |
| ReActBackbone=DenseNet-101, External Text=False2026.04 | 86.44 | — | — | 68.03 | |
| ODINModel Architecture=ResNet2019.12 | 85.6 | 23.2 | 78.3 | — | |
| ODINModel Architecture=DenseNet2019.12 | 85.5 | 41.2 | 77.1 | — | |
| NegRefineBackbone=CLIP-B/16, External Text=True2026.04 | 85.41 | — | — | 74.24 | |
| OptFSBackbone=DenseNet-101, External Text=False2026.04 | 83.61 | — | — | 69.52 | |
| CoOpBackbone=CLIP-B/16, External Text=False2026.04 | 83.6 | — | — | 65.98 | |
| MCMBackbone=CLIP-B/16, External Text=False2026.04 | 82.26 | — | — | 83.07 | |
| EnergyBackbone=DenseNet-101, External Text=False2026.04 | 77.77 | — | — | 75.17 | |
| BaselineModel Architecture=ResNet2019.12 | 75.8 | 18.8 | 69.9 | — | |
| BaselineModel Architecture=DenseNet2019.12 | 70.8 | 17.6 | 64.9 | — | |
| MSPBackbone=DenseNet-101, External Text=False2026.04 | 67.13 | — | — | 87.28 |