A method for generating tire defect images based on improved DCGAN

An improved DCGAN tire defect image generation model was proposed to solve the problems of poor image quality, unstable model frame and slow model convergence in the data expansion method of deep convolutional generative adversarial network. The residual network and attention mechanism were embedded...

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Bibliographic Details
Main Authors: Chunhua LI, Ruizhi FU, Yukun LIU, Yulin WANG
Format: Article
Language:zho
Published: Hebei University of Science and Technology 2023-08-01
Series:Journal of Hebei University of Science and Technology
Subjects:
Online Access:https://xuebao.hebust.edu.cn/hbkjdx/article/pdf/b202304003?st=article_issue