Anomaly Detection On Dior
Metrics
ROC AUC
Results
Performance results of various models on this benchmark
Model Name | ROC AUC | Paper Title | Repository |
|---|---|---|---|
| Self-Supervised One-class SVM, RBF kernel | 70.7 | PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation | |
| PANDA | 94.3 | PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation | |
| PANDA-OE | 95.9 | PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation | |
| Self-Supervised DeepSVDD | 70 | PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation |
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