MambaAlign framework for multimodal industrial anomaly detection (IMAGE)

Shibaura Institute of Technology

MambaAlign framework for multimodal industrial anomaly detection

Caption

Researchers propose a new alignment-aware state-space fusion framework called MambaAlign that produces tighter, less fragmented anomaly maps, and is substantially more robust to modest misalignment than prior fusion or attention-heavy approaches

Credit

Dr. Phan Xuan Tan from Shibaura Institute of Technology, Japan, and Dr. Dinh-Cuong Hoang from FPT University, Vietnam Source link: https://academic.oup.com/jcde/article/13/1/514/8405688

Usage Restrictions

Credit must be given to the creator.

License

CC BY

Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert system.