Anomaly Detection on Weather
0.97AUROCFITYMI
Evaluation results
| Method | Links | |
|---|---|---|
| FITYMITraining Regime=Pre-trained, Backbone=ViT-B_162022.05 | 0.97 | |
| TransformalySetting=Unimodal2021.12 | 0.9432 | |
| TransformalyTraining Regime=Pre-trained, Backbone=ViT-B_162022.05 | 0.943 | |
| MSADTraining Regime=Pre-trained, Backbone=ResNet-1522022.05 | 0.924 | |
| CSITraining Regime=From Scratch, Backbone=ResNet-182022.05 | 0.915 | |
| MSAD*Training Regime=Pre-trained, Backbone=ViT-B_162022.05 | 0.859 | |
| PANDASetting=Unimodal2021.12 | 0.8153 | |
| PANDATraining Regime=Pre-trained, Backbone=ResNet-1522022.05 | 0.815 | |
| DN2Setting=Unimodal2021.12 | 0.8005 | |
| DeepSVDDSetting=Unimodal2021.12 | 0.7355 |