Novelty Detection on Stanford-Cars
0.908AUROCFITYMI
Evaluation Results
| Method | Links | |
|---|---|---|
| FITYMITraining Regime=Pre-trained, Backbone=ViT-B_162022.05 | 0.908 | |
| FITYMI2024.07 | 0.908 | |
| PANDATraining Regime=Pre-trained, Backbone=ResNet-1522022.05 | 0.876 | |
| PANDA2024.07 | 0.876 | |
| GeneralADModel Size=large, Backbone=DINOv22024.07 | 0.873 | |
| MSADTraining Regime=Pre-trained, Backbone=ResNet-1522022.05 | 0.871 | |
| MSAD2024.07 | 0.871 | |
| TransformalyTraining Regime=Pre-trained, Backbone=ViT-B_162022.05 | 0.867 | |
| Transformaly2024.07 | 0.867 | |
| MSAD*Training Regime=Pre-trained, Backbone=ViT-B_162022.05 | 0.857 | |
| GeneralADModel Size=base, Backbone=DINOv22024.07 | 0.829 | |
| GeneralADModel Size=small, Backbone=DINOv22024.07 | 0.822 | |
| SimpleNet2024.07 | 0.818 | |
| Patchcore2024.07 | 0.783 | |
| CSITraining Regime=From Scratch, Backbone=ResNet-182022.05 | 0.665 |