Invention Grant
- Patent Title: Method for detecting surface defect, method for training model, apparatus, device, and media
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Application No.: US17116597Application Date: 2020-12-09
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Publication No.: US11763552B2Publication Date: 2023-09-19
- Inventor: Shufei Lin , Jianfeng Zhu , Pengcheng Yuan , Bin Zhang , Shumin Han , Yingbo Xu , Yuan Feng , Ying Xin , Xiaodi Wang , Jingwei Liu , Shilei Wen , Hongwu Zhang , Errui Ding
- Applicant: BEIJING BAIDU NETCOM SCIENCE AND TECHNOLOGY CO., LTD.
- Applicant Address: CN Beijing
- Assignee: BEIJING BAIDU NETCOM SCIENCE AND TECHNOLOGY CO., LTD.
- Current Assignee: BEIJING BAIDU NETCOM SCIENCE AND TECHNOLOGY CO., LTD.
- Current Assignee Address: CN Beijing
- Agency: Seed IP Law Group LLP
- Priority: CN 2010540227.0 2020.06.12
- Main IPC: G06V10/82
- IPC: G06V10/82 ; G06N3/088 ; G06T7/00 ; G06F18/214 ; G06N3/045 ; G06V10/776 ; G06V20/60

Abstract:
A method for detecting a surface defect, a method for training model, an apparatus, a device, and a medium, are provided. The method includes: inputting a surface image of the article for detection into a defect detection model to perform a defect detection, and acquiring a defect detection result output by the defect detection model; inputting a surface image of a defective article determined to be defective into an image discrimination model based on the defect detection result to determine whether the surface image of the defective article is defective, wherein the image discrimination model is a trained generative adversarial networks model, and the generative adversarial networks model is obtained by training using a surface image of a defect-free good article; and adjusting the defect detection result of the surface image of the defective article according to a determination result of the image discrimination model.
Public/Granted literature
- US20210390682A1 METHOD FOR DETECTING SURFACE DEFECT, METHOD FOR TRAINING MODEL, APPARATUS, DEVICE, AND MEDIA Public/Granted day:2021-12-16
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