Image synthesis of apparel stitching defects using deep convolutional generative adversarial networks

Image synthesis of apparel stitching defects using deep convolutional generative adversarial networks

In industrial manufacturing, the detection of stitching defects in fabric has become a pivotal stage in ensuring product quality. Deep learning-based fabric defect detection models have demonstrated remarkable accuracy, but they often require a vast amount of training data. Unfortunately, practical...

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Bibliographic Details
Main Authors:	Noor ul-Huda, Haseeb Ahmad, Ameen Banjar, Ahmed Omar Alzahrani, Ibrar Ahmad, M. Salman Naeem
Format:	Article
Language:	English
Published:	Elsevier 2024-02-01
Series:	Heliyon
Subjects:	Deep learning Deep convolutional generative adversarial network Defect generation Image synthesis
Online Access:	http://www.sciencedirect.com/science/article/pii/S2405844024024976

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