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算力平台

Unsupervised Anomaly Detection With Specified 14

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

Paper Title
IF0.889Isolation forest
Deep Unsup.0.884Deep unsupervised anomaly detection
LVAD0.884Locally varying distance transform for unsupervised visual anomaly detection
DAGMM0.780Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection
RSRAE0.689Robust Subspace Recovery Layer for Unsupervised Anomaly Detection
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Unsupervised Anomaly Detection With Specified 14 | SOTA | HyperAI超神经