Oct 26, 2022 · Generative adversarial networks (GAN), as an unsupervised learning algorithm, has been widely used in defect detection tasks in various fields ...
This paper summarizes the relevant literature on the research and application of GAN based defect detection, and provides certain technical information for.
Oct 20, 2022 · This paper summarizes the relevant literature on the research progress and application status of GAN based defect detection, which provides ...
A complete survey on particle swarm optimization (PSO) is presented in aspect of mechanism, feature, improvements and applications. Especially, the studies on ...
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Surface defect inspection based on deep learning has demonstrated outstanding performance in improving detection accuracy and model generalization.
Jun 12, 2024 · (pourreza2021g2d, ) presents a defect detection method based on Generative Adversarial Networks ... A review on industrial surface defect ...
This paper integrates a Generative Adversarial Network ( GAN ) within the CV S framework used by Renault/Brazil to improve the detection of defective production ...
Jan 29, 2021 · After that, we propose a taxonomy to summarize GANs based techniques for addressing imbalance problems in computer vision tasks into three major ...
Mar 10, 2024 · A survey of defect detection applications based on generative adversarial networks. ... adversarial network and convolutional neural network ...
GAN-based anomaly detection: A review - ScienceDirect.com
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Jul 7, 2022 · As a form of unsupervised learning algorithm, generative adversarial networks (GAN/GANs) have been widely used in anomaly detection because GAN ...