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Unsupervised Anomaly Detection With Specified 20
평가 지표
AUC-ROC
평가 결과
이 벤치마크에서 각 모델의 성능 결과
| Paper Title | ||
|---|---|---|
| Shell-Renormalized | 0.997 | Shell Theory: A Statistical Model of Reality |
| LVAD | 0.979 | Locally varying distance transform for unsupervised visual anomaly detection |
| RSRAE | 0.972 | Robust Subspace Recovery Layer for Unsupervised Anomaly Detection |
| Deep Unsup. | 0.906 | Deep unsupervised anomaly detection |
| DAGMM | 0.826 | Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection |
| IF | 0.797 | Isolation forest |
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