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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| Main Authors: | , , , , , |
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| Format: | article |
| Language: | EN |
| Published: |
MDPI AG
2021
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| Subjects: | |
| Online Access: | https://doaj.org/article/b9565b511d28407abd376d9ce7a1744d |
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