Out-of-Distribution Detection on ImageNet-1K OOD Average
97.75AUROCANTS
Evaluation results
| Method | Links | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| ANTSTraining Protocol=Zero Shot (No Training Required), Encoder=ViT-B/162025.09 | 97.75 | — | 11.2 | — | — | — | — | — | — | — | — | — | — | |
| SynOODTraining Protocol=Training-required (or with Fine-tuning), Encoder=ViT-B/162025.09 | 97.01 | — | 14.27 | — | — | — | — | — | — | — | — | — | — | |
| AdaNegTraining Protocol=Zero Shot (No Training Required), Encoder=ViT-B/162025.09 | 96.66 | — | 18.92 | — | — | — | — | — | — | — | — | — | — | |
| CSPTraining Protocol=Zero Shot (No Training Required), Encoder=ViT-B/162025.09 | 95.76 | — | 17.51 | — | — | — | — | — | — | — | — | — | — | |
| CMATraining Protocol=Training-required (or with Fine-tuning), Encoder=ViT-B/162025.09 | 95.13 | — | 19.93 | — | — | — | — | — | — | — | — | — | — | |
| LAPTTraining Protocol=Training-required (or with Fine-tuning), Encoder=ViT-B/162025.09 | 94.68 | — | 23.4 | — | — | — | — | — | — | — | — | — | — | |
| NegLabelTraining Protocol=Zero Shot (No Training Required), Encoder=ViT-B/162025.09 | 94.21 | — | 25.4 | — | — | — | — | — | — | — | — | — | — | |
| OODDTraining Protocol=Zero Shot (No Training Required), Encoder=ViT-B/162025.09 | 93.69 | — | 24.79 | — | — | — | — | — | — | — | — | — | — | |
| ID-LikeTraining Protocol=Training-required (or with Fine-tuning), Encoder=ViT-B/162025.09 | 93.68 | — | 30.07 | — | — | — | — | — | — | — | — | — | — | |
| SCTTraining Protocol=Training-required (or with Fine-tuning), Encoder=ViT-B/162025.09 | 93.27 | — | 26.47 | — | — | — | — | — | — | — | — | — | — | |
| CLIPNTraining Protocol=Training-required (or with Fine-tuning), Encoder=ViT-B/162025.09 | 93.1 | — | 31.1 | — | — | — | — | — | — | — | — | — | — | |
| EOETraining Protocol=Zero Shot (No Training Required), Encoder=ViT-B/162025.09 | 92.96 | — | 30.09 | — | — | — | — | — | — | — | — | — | — | |
| CoVerTraining Protocol=Zero Shot (No Training Required), Encoder=ViT-B/162025.09 | 92.45 | — | 34.88 | — | — | — | — | — | — | — | — | — | — | |
| LSNTraining Protocol=Training-required (or with Fine-tuning), Encoder=ViT-B/162025.09 | 92.26 | — | 30.22 | — | — | — | — | — | — | — | — | — | — | |
| LoCoOpTraining Protocol=Training-required (or with Fine-tuning), Encoder=ViT-B/162025.09 | 92.01 | — | 36.95 | — | — | — | — | — | — | — | — | — | — | |
| HFTTIn-distribution image requirement=Not required2024.09 | 91.76 | 33.33 | — | — | — | — | — | — | — | — | — | — | — | |
| NPOSIn-distribution image requirement=Required2024.09 | 91.22 | 37.94 | — | — | — | — | — | — | — | — | — | — | — | |
| KNNIn-distribution image requirement=Required2024.09 | 90.97 | 42.19 | — | — | — | — | — | — | — | — | — | — | — | |
| MCMTraining Protocol=Zero Shot (No Training Required), Encoder=ViT-B/162025.09 | 90.82 | — | 43.93 | — | — | — | — | — | — | — | — | — | — | |
| NegPromptTraining Protocol=Training-required (or with Fine-tuning), Encoder=ViT-B/162025.09 | 90.57 | — | 37.34 | — | — | — | — | — | — | — | — | — | — | |
| MCMIn-distribution image requirement=Not required2024.09 | 89.86 | 41.25 | — | — | — | — | — | — | — | — | — | — | — | |
| VNSArchitectures=Average of ViT-B/16, ResNet-50, Swin-T2026.02 | 88.51 | 38.99 | — | 76.12 | 47.13 | 12.88 | 30.26 | 28.58 | 75.17 | 86.16 | 96.71 | 91.96 | 92.57 | |
| RMDS++Architectures=Average of ViT-B/16, ResNet-50, Swin-T2026.02 | 86.83 | 45.1 | — | 83.19 | 49.79 | 18.64 | 41.62 | 32.24 | 72.59 | 86.09 | 95.3 | 89.26 | 90.91 | |
| MaxLogitIn-distribution image requirement=Not required2024.09 | 86.26 | 44.3 | — | — | — | — | — | — | — | — | — | — | — | |
| ADASCALEArchitectures=Average of ViT-B/16, ResNet-50, Swin-T2026.02 | 85.74 | 46.59 | — | 76.43 | 58.96 | 25.3 | 38.64 | 33.61 | 71.66 | 82.56 | 93 | 90.53 | 90.98 | |
| EnergyIn-distribution image requirement=Not required2024.09 | 85.7 | 39.64 | — | — | — | — | — | — | — | — | — | — | — | |
| GENArchitectures=Average of ViT-B/16, ResNet-50, Swin-T2026.02 | 85.37 | 46.71 | — | 79.04 | 54.08 | 23.18 | 43.03 | 34.23 | 71.62 | 83.13 | 93.4 | 88.66 | 90.03 | |
| D-KNNBackbone=ResNet-502026.02 | 85.2 | — | 54.6 | — | — | — | — | — | — | — | — | — | — | |
| FDBDBackbone=ResNet-502026.02 | 85 | — | 58.2 | — | — | — | — | — | — | — | — | — | — | |
| NCIArchitectures=Average of ViT-B/16, ResNet-50, Swin-T2026.02 | 84.98 | 47.99 | — | 82.99 | 57.54 | 25.64 | 36.7 | 37.06 | 68.83 | 82.15 | 93 | 90.79 | 90.15 | |
| FDBDArchitectures=Average of ViT-B/16, ResNet-50, Swin-T2026.02 | 84.37 | 49 | — | 84.75 | 58.11 | 27.91 | 38.77 | 35.47 | 66.65 | 80.81 | 91.53 | 89.95 | 89.6 | |
| ViMBackbone=ResNet-502026.02 | 84.1 | — | 64 | — | — | — | — | — | — | — | — | — | — | |
| ReActBackbone=ResNet-502026.02 | 84 | — | 53.6 | — | — | — | — | — | — | — | — | — | — | |
| KNNBackbone=ResNet-502026.02 | 83.9 | — | 57.1 | — | — | — | — | — | — | — | — | — | — | |
| CoODBase Model=Standard2026.04 | 82.7 | — | 56.9 | — | — | — | — | — | — | — | — | — | — | |
| IODINArchitectures=Average of ViT-B/16, ResNet-50, Swin-T2026.02 | 82.63 | 57.15 | — | 81.14 | 65.78 | 36.63 | 54.59 | 47.65 | 71.07 | 80.13 | 89.79 | 85.56 | 86.61 | |
| CoOD*Base Model=Standard2026.04 | 82.5 | — | 57 | — | — | — | — | — | — | — | — | — | — | |
| CoOp + CoOD*Base Model=CoOp2026.04 | 82.4 | — | 58.5 | — | — | — | — | — | — | — | — | — | — | |
| MSPIn-distribution image requirement=Required2024.09 | 82.17 | 58.67 | — | — | — | — | — | — | — | — | — | — | — | |
| ID-Like + CoODBase Model=ID-Like2026.04 | 82 | — | 57.1 | — | — | — | — | — | — | — | — | — | — | |
| ID-Like + CoOD*Base Model=ID-Like2026.04 | 81.8 | — | 58 | — | — | — | — | — | — | — | — | — | — | |
| ZOCIn-distribution image requirement=Not required2024.09 | 81.79 | 85.19 | — | — | — | — | — | — | — | — | — | — | — | |
| ZOCTraining Protocol=Training-required (or with Fine-tuning), Encoder=ViT-B/162025.09 | 81.79 | — | 85.19 | — | — | — | — | — | — | — | — | — | — | |
| MSPTraining Protocol=Training-required (or with Fine-tuning), Encoder=ViT-B/162025.09 | 81.63 | — | 69.61 | — | — | — | — | — | — | — | — | — | — | |
| CoOp + CoODBase Model=CoOp2026.04 | 81.6 | — | 52.4 | — | — | — | — | — | — | — | — | — | — | |
| EnergyBackbone=ResNet-502026.02 | 80.5 | — | 64.1 | — | — | — | — | — | — | — | — | — | — | |
| MaxLogitBackbone=ResNet-502026.02 | 80.4 | — | 64.5 | — | — | — | — | — | — | — | — | — | — | |
| GapBase Model=Standard2026.04 | 79.4 | — | 74.9 | — | — | — | — | — | — | — | — | — | — | |
| CoOD-FBase Model=Standard2026.04 | 79.4 | — | 62.8 | — | — | — | — | — | — | — | — | — | — | |
| KNNArchitectures=Average of ViT-B/16, ResNet-50, Swin-T2026.02 | 79.12 | 53.32 | — | 88.51 | 62.36 | 41.06 | 27.5 | 47.16 | 57.45 | 76.45 | 84.38 | 93.69 | 83.61 | |
| CoOp + GapBase Model=CoOp2026.04 | 78.4 | — | 76.5 | — | — | — | — | — | — | — | — | — | — | |
| MLS + TAGBase Model=Standard2026.04 | 77.8 | — | 75.8 | — | — | — | — | — | — | — | — | — | — | |
| ID-Like + CoOD-FBase Model=ID-Like2026.04 | 77.8 | — | 63.8 | — | — | — | — | — | — | — | — | — | — | |
| MCMBase Model=Standard2026.04 | 77.1 | — | 78.8 | — | — | — | — | — | — | — | — | — | — | |
| MLSBase Model=Standard2026.04 | 77 | — | 77.5 | — | — | — | — | — | — | — | — | — | — | |
| CoOp + CoOD-FBase Model=CoOp2026.04 | 76.8 | — | 69.9 | — | — | — | — | — | — | — | — | — | — | |
| SCALEArchitectures=Average of ViT-B/16, ResNet-50, Swin-T2026.02 | 76.71 | 69.61 | — | 83 | 76.22 | 56.33 | 62.63 | 68.53 | 66.15 | 73.06 | 83.44 | 81.68 | 79.22 | |
| MCM + TAGBase Model=Standard2026.04 | 76.7 | — | 80.7 | — | — | — | — | — | — | — | — | — | — | |
| CoOpBase Model=CoOp2026.04 | 76.2 | — | 79.1 | — | — | — | — | — | — | — | — | — | — | |
| MSPBackbone=ResNet-502026.02 | 75.4 | — | 70.4 | — | — | — | — | — | — | — | — | — | — | |
| EBO + TAGBase Model=Standard2026.04 | 75.4 | — | 80.4 | — | — | — | — | — | — | — | — | — | — | |
| NecoBackbone=ResNet-502026.02 | 75 | — | 68.8 | — | — | — | — | — | — | — | — | — | — | |
| EBOBase Model=Standard2026.04 | 74.8 | — | 81.6 | — | — | — | — | — | — | — | — | — | — | |
| GLBase Model=Standard2026.04 | 74.7 | — | 75.3 | — | — | — | — | — | — | — | — | — | — | |
| ID-Like + GapBase Model=ID-Like2026.04 | 74.5 | — | 79.4 | — | — | — | — | — | — | — | — | — | — | |
| MSPArchitectures=Average of ViT-B/16, ResNet-50, Swin-T2026.02 | 73.52 | 59.61 | — | 80.6 | 65.12 | 41.06 | 59.41 | 51.87 | 71.73 | 72.23 | 73.8 | 76.41 | 73.92 | |
| WDiscOODBackbone=ResNet-502026.02 | 70.7 | — | 77.2 | — | — | — | — | — | — | — | — | — | — | |
| MahalanobisBackbone=ResNet-502026.02 | 68.4 | — | 79.7 | — | — | — | — | — | — | — | — | — | — | |
| ID-LikeBase Model=ID-Like2026.04 | 67.5 | — | 84.1 | — | — | — | — | — | — | — | — | — | — | |
| ASHArchitectures=Average of ViT-B/16, ResNet-50, Swin-T2026.02 | 62.1 | 75.87 | — | 87.62 | 80.92 | 68.45 | 69.98 | 72.57 | 57.55 | 61.01 | 64.77 | 62.36 | 64.8 | |
| MahalanobisIn-distribution image requirement=Required2024.09 | 61.51 | 98.94 | — | — | — | — | — | — | — | — | — | — | — |