Unsupervised Anomaly Detection With Specified 9
Metrics
AUC-ROC
Results
Performance results of various models on this benchmark
Model Name | AUC-ROC | Paper Title | Repository |
|---|---|---|---|
| LVAD | 0.930 | Locally varying distance transform for unsupervised visual anomaly detection | |
| Isolation Forest | 0.894 | Isolation forest | - |
| DAGMM | 0.494 | Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection | |
| Deep Unsup. | 0.841 | Deep unsupervised anomaly detection | - |
| RSRAE | 0.901 | Robust Subspace Recovery Layer for Unsupervised Anomaly Detection | - |
| Shell-Renormalized | 0.740 | Shell Theory: A Statistical Model of Reality |
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