Unsupervised Anomaly Detection With Specified 19
Metrics
AUC-ROC
Results
Performance results of various models on this benchmark
Model Name | AUC-ROC | Paper Title | Repository |
|---|---|---|---|
| RSRAE | 0.981 | Robust Subspace Recovery Layer for Unsupervised Anomaly Detection | - |
| Deep Unsup. | 0.862 | Deep unsupervised anomaly detection | - |
| DAGMM | 0.710 | Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection | |
| IF | 0.878 | Isolation forest | - |
| LVAD | 0.978 | Locally varying distance transform for unsupervised visual anomaly detection |
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