Out-of-distribution Detection on CIFAR10-C vs CIFAR100 OOD (test)
0.748AUROCMGP
Evaluation Results
| Method | Links | |
|---|---|---|
| MGPBackbone=Inception v3, Pre-trained=ImageNet2022.10 | 0.748 | |
| MC DropoutBackbone=Inception v3, Pre-trained=ImageNet2022.10 | 0.725 | |
| DE (EF)Backbone=Inception v3, Pre-trained=ImageNet, Fusion strategy=Early Fusion2022.10 | 0.721 | |
| SNGPBackbone=Inception v3, Pre-trained=ImageNet2022.10 | 0.705 | |
| DE (LF)Backbone=Inception v3, Pre-trained=ImageNet, Fusion strategy=Late Fusion2022.10 | 0.693 | |
| TMCBackbone=Inception v3, Pre-trained=ImageNet2022.10 | 0.675 |