SegLGAD: Local-to-global industrial anomaly detection with visual segmentation model

Authors:
  • XDXiao Du
    Xiao Du
  • BLBing Li
    Bing Li
  • TLTongkun Liu
    Tongkun Liu
  • YDYi Ding
    Yi Ding
  • LJLiuyi Jin
    Liuyi Jin

Abstract
No abstract available
Funding Information
  • China Postdoctoral Science Foundation (2022M722551)
  • National Natural Science Foundation of China (52305585)
  • Xi’an Jiaotong University
  • Natural Science Foundation of Shaanxi Province (2023-JC-QN-0613)