Unsupervised Anomaly Detection With Specified 8
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 |
|---|---|---|---|
| RSRAE | 0.995 | Robust Subspace Recovery Layer for Unsupervised Anomaly Detection | |
| Isolation Forest | 0.890 | Isolation forest | - |
| Shell-Renormalized | 0.803 | Shell Theory: A Statistical Model of Reality | |
| DAGMM | 0.574 | Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection | |
| Deep Unsup. | 0.384 | Deep unsupervised anomaly detection | - |
| LVAD | 0.998 | Locally varying distance transform for unsupervised visual anomaly detection |
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