most citedFew-Shot Anomaly Detection with Adversarial Loss for Robust Feature Representations

3 citations · 3 across the 1 of their papers we have counts for

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1 paper

cs.LG2023★ 3 cited

Few-Shot Anomaly Detection with Adversarial Loss for Robust Feature Representations

Jae Young Lee, Wonjun Lee, Jaehyun Choi +2

Anomaly detection is a critical and challenging task that aims to identify data points deviating from normal patterns and distributions within a dataset. Various methods have been…