A survey on RGB, 3D, and multimodal approaches for unsupervised industrial image anomaly detection

Yuxuan Lin, Yang Chang, Xuan Tong, Jiawen Yu, Antonio Liotta, Guofan Huang, Wei Song, Deyu Zeng, Zongze Wu, Yan Wang, Wenqiang Zhang

Abstract: Highlights•A survey of unsupervised industrial anomaly detection in RGB, 3D, and multimodal.•Fusion strategies in recent multimodal unsupervised anomaly detection are summarized.•Key challenges in each setting are discussed, with future directions proposed.