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Found 2 papers, 1 papers with code
Hierarchical Gaussian Mixture Normalizing Flow Modeling for Unified Anomaly Detection
In this paper, we propose a novel Hierarchical Gaussian mixture normalizing flow modeling method for accomplishing unified Anomaly Detection, which we call HGAD.
Focus the Discrepancy: Intra- and Inter-Correlation Learning for Image Anomaly Detection
Humans recognize anomalies through two aspects: larger patch-wise representation discrepancies and weaker patch-to-normal-patch correlations.
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