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Unsupervised Anomaly Detection with Specified Settings -- 20% anomaly
Unsupervised Anomaly Detection With Specified 14
Unsupervised Anomaly Detection With Specified 14
Metrics
AUC-ROC
Results
Performance results of various models on this benchmark
Columns
Model Name
AUC-ROC
Paper Title
IF
0.889
Isolation forest
Deep Unsup.
0.884
Deep unsupervised anomaly detection
LVAD
0.884
Locally varying distance transform for unsupervised visual anomaly detection
DAGMM
0.780
Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection
RSRAE
0.689
Robust Subspace Recovery Layer for Unsupervised Anomaly Detection
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