most citedDiscriminative Feature Learning Framework with Gradient Preference for Anomaly Detection

1 citations · 1 across the 2 of their papers we have counts for

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2 papers

cs.CV2025

Normality Prior Guided Multi-Semantic Fusion Network for Unsupervised Image Anomaly Detection

Muhao Xu, Xueying Zhou, Xizhan Gao +3

Recently, detecting logical anomalies is becoming a more challenging task compared to detecting structural ones. Existing encoder decoder based methods typically compress inputs in…

cs.LG2022★ 1 cited

Discriminative Feature Learning Framework with Gradient Preference for Anomaly Detection

Muhao Xu, Xueying Zhou, Xizhan Gao +2

Unsupervised representation learning has been extensively employed in anomaly detection, achieving impressive performance. Extracting valuable feature vectors that can remarkably i…