One-Class Novelty Detection on CIFAR10
0.991AUROCFITYMI
Evaluation results
| Method | Links | |
|---|---|---|
| FITYMITraining Setup=Pre-trained, Backbone=ViT-B_162022.05 | 0.991 | |
| TransformalyTraining Setup=Pre-trained, Backbone=ViT-B_162022.05 | 0.983 | |
| MSADTraining Setup=Pre-trained, Backbone=ResNet-1522022.05 | 0.972 | |
| PANDATraining Setup=Pre-trained, Backbone=ResNet-1522022.05 | 0.962 | |
| CSITraining Setup=From Scratch, Backbone=ResNet-182022.05 | 0.943 | |
| MSADTraining Setup=Pre-trained, Backbone=ViT-B_162022.05 | 0.941 | |
| Reverse Distillation2022.01 | 0.865 | |
| MKD2022.01 | 0.845 | |
| DAAD2022.01 | 0.753 | |
| HRN2022.01 | 0.713 | |
| PatchCoreTraining Setup=Pre-trained, Backbone=WideResNet502022.05 | 0.672 | |
| OCGAN2022.01 | 0.657 | |
| LSA2022.01 | 0.641 |