Efficient dataset extension using generative networks for assessing degree of coating degradation around scribe

A novel methodology for dataset augmentation in the semantic segmentation of coil-coated surface degradation is presented in this study. Deep convolutional generative adversarial networks (DCGAN) are employed to generate synthetic input-target pairs, which closely resemble real-world data, with the...

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Bibliographic Details
Main Authors: Dominik Stursa, Pavel Rozsival, Petr Dolezel
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-12-01
Series:Frontiers in Artificial Intelligence
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Online Access:https://www.frontiersin.org/articles/10.3389/frai.2024.1456844/full
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