The recent rapid development of deep learning has laid a milestone in industrial image anomaly detection (IAD). In this paper, researchers provide a comprehensive review of deep learning-based ...

The core value of unsupervised learning lies in its ability for data-driven exploration, making it particularly suitable for ...

Anomaly detection in images is rapidly emerging as a critical field in both industrial quality control and medical diagnostics. Leveraging deep learning techniques, researchers have developed ...

A high-performance AI framework enhances anomaly detection in industrial systems using optimized Graph Deviation Networks and graph attention ...