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Self-Supervised Structure Learning for Crack Detection Based on Cycle-Consistent Generative Adversarial Networks

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AbstractDeep learning is a state-of-the-art approach to pixel-level crack detection. However, it relies on a large number of source–target image pairs for the training, which is very expensive. Thi... Click to show full abstract

AbstractDeep learning is a state-of-the-art approach to pixel-level crack detection. However, it relies on a large number of source–target image pairs for the training, which is very expensive. Thi...

Keywords: self supervised; structure learning; crack detection; supervised structure; crack

Journal Title: Journal of Computing in Civil Engineering
Year Published: 2020

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