Out-of-Distribution Detection on iNaturalist (val)
99.5AUROCMMD + SimCLRv2
Evaluation Results
| Method | Links | |
|---|---|---|
| MMD + SimCLRv2n_samples=10, Backbone=ResNet-502022.10 | 99.5 | |
| MMD + SimCLRv2n_samples=20, Backbone=ResNet-502022.10 | 99.5 | |
| MMD-CC + SimCLRv2n_samples=10, Backbone=ResNet-502022.10 | 99.5 | |
| MMD-CC + SimCLRv2n_samples=20, Backbone=ResNet-502022.10 | 99.5 | |
| MMD + Supervisedn_samples=10, Backbone=ResNet-502022.10 | 99.5 | |
| MMD + Supervisedn_samples=20, Backbone=ResNet-502022.10 | 99.5 | |
| MMD-CC + Supervisedn_samples=5, Backbone=ResNet-502022.10 | 99.5 | |
| MMD-CC + Supervisedn_samples=10, Backbone=ResNet-502022.10 | 99.5 | |
| MMD-CC + Supervisedn_samples=20, Backbone=ResNet-502022.10 | 99.5 | |
| MMD-CC + SimCLRv2n_samples=5, Backbone=ResNet-502022.10 | 99.2 | |
| MMD + Supervisedn_samples=5, Backbone=ResNet-502022.10 | 98.7 | |
| MMD-CC + Supervisedn_samples=3, Backbone=ResNet-502022.10 | 98 | |
| MMD + SimCLRv2n_samples=5, Backbone=ResNet-502022.10 | 97.6 | |
| MMD-CC + SimCLRv2n_samples=3, Backbone=ResNet-502022.10 | 95.4 | |
| MMD + Supervisedn_samples=3, Backbone=ResNet-502022.10 | 91.8 | |
| MMD + SimCLRv2n_samples=3, Backbone=ResNet-502022.10 | 88.3 |