公开(公告)号：US20210390682A1

公开(公告)日：2021-12-16

申请号：US17116597

申请日：2020-12-09

Applicant: BEIJING BAIDU NETCOM SCIENCE AND TECHNOLOGY CO., LTD.

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

IPC: G06T7/00 ,  G06K9/62 ,  G06K9/46 ,  G06N3/08 ,  G06N3/04

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.