Fanghui Zhang

Low-Shot Unsupervised Visual Anomaly Detection via Sparse Feature Representation

2024 · IEEE Transactions on Neural Networks and Learning Systems

Visual anomaly detection is an essential component in modern industrial manufacturing. Existing studies using notions of pairwise similarity distance between a test feature and nominal features have achieved great breakthroughs. However, the absolute similarity distance …