Enhancement of Multi-Class Structural Defect Recognition Using Generative Adversarial Network

Recently, in the building and infrastructure fields, studies on defect detection methods using deep learning have been widely implemented. For robust automatic recognition of defects in buildings, a sufficiently large training dataset is required for the target defects. However, it is challenging to...

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Autores principales: Hyunkyu Shin, Yonghan Ahn, Sungho Tae, Heungbae Gil, Mihwa Song, Sanghyo Lee
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/b9565b511d28407abd376d9ce7a1744d
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