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Unsupervised Anomaly Detection with Specified Settings -- 10% anomaly
Unsupervised Anomaly Detection With Specified 27
Unsupervised Anomaly Detection With Specified 27
Metrics
AUC-ROC
Results
Performance results of various models on this benchmark
Columns
Model Name
AUC-ROC
Paper Title
IF
0.915
Isolation forest
LVAD
0.899
Locally varying distance transform for unsupervised visual anomaly detection
Deep Unsup.
0.878
Deep unsupervised anomaly detection
DAGMM
0.788
Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection
RSRAE
0.748
Robust Subspace Recovery Layer for Unsupervised Anomaly Detection
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