2 papers
cs.CV2025
A Survey on RGB, 3D, and Multimodal Approaches for Unsupervised Industrial Image Anomaly Detection
Yuxuan Lin, Yang Chang, Xuan Tong +8
In the advancement of industrial informatization, unsupervised anomaly detection technology effectively overcomes the scarcity of abnormal samples and significantly enhances the au…
cs.CV2025
Multimodal Task Representation Memory Bank vs. Catastrophic Forgetting in Anomaly Detection
You Zhou, Jiangshan Zhao, Deyu Zeng +3
Unsupervised Continuous Anomaly Detection (UCAD) faces significant challenges in multi-task representation learning, with existing methods suffering from incomplete representation…