Research on Fabric Defect Detection Algorithm Based on Lightweight YOLOv7-Tiny

The current advanced neural network models are expanding in size and complexity to achieve improved detection accuracy. This study designs a lightweight fabric defect detection algorithm based on YOLOv7-tiny, called YOLOv7-tiny-MGCK. Its objectives are to improve the performance of fabric defect det...

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Bibliographic Details

Published in:	Journal of Natural Fibers
Main Authors:	Tang Li, Mei Shunqi, Shi Yishan, Zhou Shi, Zheng Quan, Hongkai Jiang, Xu Qiao, Zhang Zhiming
Format:	Article
Language:	English
Published:	Taylor & Francis Group 2024-12-01
Subjects:	Neural network fabric defect detection activation function Ghost module upsampling clustering algorithm
Online Access:	https://www.tandfonline.com/doi/10.1080/15440478.2024.2352753