Out-of-Distribution Detection on ImageNet LT (test)
75.84AUROCCOCL + ImOOD
Evaluation results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
| COCL + ImOODBase model=ResNet502024.07 | 75.84 | 73.19 | 74.96 | 52.43 | — | — | — | |
| PASCL + ImOODBase model=ResNet502024.07 | 74.69 | 73.08 | 74.37 | 46.63 | — | — | — | |
| AdaptODTraining Method=DNE, Test Method=DODA2024.10 | 74.32 | — | — | — | 49.02 | 88.63 | 72.91 | |
| COCLBase model=ResNet502024.07 | 73.87 | 72.63 | 76.35 | 51 | — | — | — | |
| DNETest Method=AUTO2024.10 | 73.31 | — | — | — | 47.26 | 87.11 | 74.6 | |
| COCLTest Method=DODA2024.10 | 73.27 | — | — | — | 47.98 | 87.77 | 74.71 | |
| BERLTest Method=DODA2024.10 | 73.12 | — | — | — | 47.34 | 86.95 | 74.92 | |
| DNETest Method=AdaODD2024.10 | 73.1 | — | — | — | 46.83 | 86.68 | 74.64 | |
| COCLTest Method=AdaODD2024.10 | 72.35 | — | — | — | 47.2 | 86.89 | 75.06 | |
| DNETest Method=w/o TTA2024.10 | 72.04 | — | — | — | 46.53 | 86.06 | 75.82 | |
| COCLTest Method=w/o TTA2024.10 | 71.85 | — | — | — | 46.76 | 86.21 | 75.6 | |
| BERLTest Method=AdaODD2024.10 | 71.8 | — | — | — | 46.47 | 85.56 | 77.36 | |
| COCLTest Method=AUTO2024.10 | 71.79 | — | — | — | 46.84 | 86.89 | 75.28 | |
| BERLTest Method=AUTO2024.10 | 71.66 | — | — | — | 46.58 | 86.05 | 76.09 | |
| BERLTest Method=w/o TTA2024.10 | 71.16 | — | — | — | 45.97 | 85.63 | 76.98 | |
| Class Prior2024.10 | 70.43 | — | — | — | 45.26 | 84.82 | 77.63 | |
| EATBase model=ResNet502024.07 | 69.84 | 69.25 | 87.63 | 46.79 | — | — | — | |
| EAT2024.10 | 69.84 | — | — | — | 43.15 | 81.32 | 80.97 | |
| EnergyOE2024.10 | 69.43 | — | — | — | 45.12 | 84.75 | 76.89 | |
| OE2024.10 | 68.33 | — | — | — | 43.87 | 82.54 | 90.98 | |
| PASCLBase model=ResNet502024.07 | 68 | 70.15 | 87.53 | 45.49 | — | — | — | |
| PASCL2024.10 | 68 | — | — | — | 43.32 | 82.69 | 82.28 | |
| OEBase model=ResNet502024.07 | 66.33 | 68.29 | 88.22 | 37.6 | — | — | — | |
| EnergyOEBase model=ResNet502024.07 | 64.76 | 64.77 | 87.72 | 38.5 | — | — | — | |
| OECCBase model=ResNet502024.07 | 63.07 | 63.05 | 86.9 | 38.25 | — | — | — | |
| MSPBase model=ResNet502024.07 | 53.81 | 51.63 | 90.15 | 39.65 | — | — | — |