OOD Detection on CIFAR10 (ID) vs OMNIGLOT (OOD) (test)
92.77AUCBNN-ARHT
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| BNN-ARHTIn-Distrib.=CIFAR10, Architecture=LeNet [22]2023.10 | 92.77 | 93.74 | |
| Kendall and GalIn-Distrib.=CIFAR10, Architecture=LeNet [22]2023.10 | 89.08 | 90.93 | |
| Deep EnsemblesIn-Distrib.=CIFAR10, Architecture=LeNet [22]2023.10 | 86.77 | 90.35 | |
| EDLIn-Distrib.=CIFAR10, Architecture=LeNet [22]2023.10 | 77.53 | 80.5 | |
| MC DropoutIn-Distrib.=CIFAR10, Architecture=LeNet [22]2023.10 | 77.15 | 79 | |
| DetectronIn-Distrib.=CIFAR10, Architecture=LeNet [22]2023.10 | 76.99 | 91 | |
| DPNIn-Distrib.=CIFAR10, Architecture=LeNet [22]2023.10 | 62.34 | 70.49 |