Unsupervised Anomaly Detection With Specified 25
평가 지표
AUC-ROC
평가 결과
이 벤치마크에서 각 모델의 성능 결과
모델 이름 | AUC-ROC | Paper Title | Repository |
|---|---|---|---|
| Deep Unsup. | 0.856 | Deep unsupervised anomaly detection | - |
| DAGMM | 0.769 | Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection | |
| LVAD | 0.868 | Locally varying distance transform for unsupervised visual anomaly detection | |
| RSRAE | 0.689 | Robust Subspace Recovery Layer for Unsupervised Anomaly Detection | |
| IF | 0.889 | Isolation forest | - |
0 of 5 row(s) selected.