Out-of-Distribution Detection on CIFAR-10 vs CIFAR-100 Near-OOD (test)
94.07AUROCshifting transformation learning
Evaluation results
| Method | Links | ||
|---|---|---|---|
| shifting transformation learningHyp.-Para. Dependency=No, Generalizable=true, Zero Shot=true2021.06 | 94.07 | — | |
| Outlier ExposureHyp.-Para. Dependency=Low, Generalizable=true, Zero Shot=false2021.06 | 93.41 | — | |
| CSI-ensHyp.-Para. Dependency=Low, Generalizable=true, Zero Shot=true2021.06 | 92.06 | — | |
| GeometricHyp.-Para. Dependency=Low, Generalizable=true, Zero Shot=true2021.06 | 91.91 | — | |
| SSDHyp.-Para. Dependency=No, Generalizable=true, Zero Shot=true2021.06 | 90.4 | — | |
| KNNk=102023.09 | 89.55 | 52.49 | |
| MahalanobisHyp.-Para. Dependency=High, Generalizable=false, Zero Shot=false2021.06 | 88.51 | — | |
| NNGuidealpha=10%, k=102023.09 | 86.64 | 51.54 | |
| Energy2023.09 | 86.15 | 51.46 | |
| ODINHyp.-Para. Dependency=High, Generalizable=false, Zero Shot=false2021.06 | 85.8 | — | |
| Gram MatricesHyp.-Para. Dependency=No, Generalizable=true, Zero Shot=true2021.06 | 79.01 | — |