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What is Unsupervised Anomaly Detection Survey about?

This document presents a comprehensive survey on Unsupervised Industrial Anomaly Detection (UIAD) focusing on RGB, 3D, and multimodal approaches. It categorizes existing methods, summarizes datasets and evaluation metrics, and discusses challenges and future directions in the field. The survey aims to provide researchers with valuable insights and references for advancing industrial informatization through improved anomaly detection techniques.

Author

15715189857

Language

EN