Multi-Scale Memory Comparison for Zero-/Few-Shot Anomaly Detection. (arXiv:2308.04789v1 [cs.CV])

Anomaly detection has gained considerable attention due to its broad range of
applications, particularly in industrial defect detection. To address the
challenges of data collection, researchers have introduced zero-/few-shot
anomaly detection techniques that require minimal normal images for each
category. However, complex industrial scenarios often involve multiple objects,
presenting a significant challenge. In light of this, we propose a
straightforward yet powerful multi-scale memory comparison framework for
zero-/few-shot anomaly detection. Our approach employs a global memory bank to
capture features …

anomaly anomaly detection applications arxiv attention challenges collection comparison data data collection defect detection detection images industrial memory multiple normal objects presenting researchers scale