Unsupervised Anomaly Detection With Specified 1
评估指标
AUC-ROC
评测结果
各个模型在此基准测试上的表现结果
模型名称 | AUC-ROC | Paper Title | Repository |
|---|---|---|---|
| Deep Unsup. | 0.740 | Deep unsupervised anomaly detection | - |
| LVAD | 0.780 | Locally varying distance transform for unsupervised visual anomaly detection | |
| DAGMM | 0.846 | Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection | |
| Isolation Forest | 0.690 | Isolation forest | - |
| Shell-Renormalized | 0.617 | Shell Theory: A Statistical Model of Reality | |
| RSRAE | 0.835 | Robust Subspace Recovery Layer for Unsupervised Anomaly Detection |
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