Contrastive Representation Learning for Industrial Defect Detection

Defect detection in large-scale manufacturing aims to find defective components,such as damaged,misaligned components,and components with printing errors.Due to unknown defect types and shortage of defect samples,industrial defect detection faces great challenges.To overcome the above difficulties,s...

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Bibliographic Details

Published in:	Jisuanji kexue
Main Author:	LUO Hangyu, WANG Xiaoping, MEI Meng, ZHAO Wenhao, LIU Sichun
Format:	Article
Language:	Chinese
Published:	Editorial office of Computer Science 2025-01-01
Subjects:	industrial product defect detection|contrastive representation learning|similarity measure|memory bank|hype-rsphere
Online Access:	https://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2025-52-1-210.pdf