Research progress of surface defect detection technology based on deep learning
LI Jian1,LI Hua1,2,HU Xiangkun1,LI Shaobo1,QIAO Jing3
1.State Key Laboratory of Public Big Data,Guizhou University
2.Department of Mechanical Engineering,Tsinghua University
3.College of Information Science and Engineering,Xinjiang Institute of Science and Technology
Online:2024-03-31
Published:2024-04-02
Supported by:
Project supported by the National Natural Science Foundation,China(No.52205092),the National Key Research and Development Program,China(No.2020YFB1713300),the General Program of China Postdoctoral Science Foundation,China(No.2023M731939),the Guizhou University Natural Science Special Project (Special Post) Research Fund,China(No.(2021)27),and the Guizhou University Talent Program,China(No.[2020]25).
LI Jian, LI Hua, HU Xiangkun, LI Shaobo, QIAO Jing. Research progress of surface defect detection technology based on deep learning[J]. Computer Integrated Manufacturing System, 2024, 30(3): 774-790.