Filter or Compensate: Towards Invariant Representation from Distribution Shift for Anomaly Detection

Zining Chen, Xingshuang Luo, Weiqiu Wang +3

Recent Anomaly Detection (AD) methods have achieved great success with In-Distribution (ID) data. However, real-world data often exhibits distribution shift, causing huge performan…