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Unsupervised Anomaly Detection with Specified Settings -- 10% anomaly
Unsupervised Anomaly Detection With Specified 22
Unsupervised Anomaly Detection With Specified 22
Metrics
AUC-ROC
Results
Performance results of various models on this benchmark
Columns
Model Name
AUC-ROC
Paper Title
LVAD
0.938
Locally varying distance transform for unsupervised visual anomaly detection
RSRAE
0.851
Robust Subspace Recovery Layer for Unsupervised Anomaly Detection
Deep Unsup.
0.847
Deep unsupervised anomaly detection
IF
0.821
Isolation forest
DAGMM
0.629
Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection
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Unsupervised Anomaly Detection With Specified 22 | SOTA | HyperAI