Self-Supervised Structure Learning for Crack Detection Based on Cycle-Consistent Generative Adversarial Networks
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DOI: 10.1061/(asce)cp.1943-5487.0000883
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... read more here.
Keywords: self supervised; structure learning; crack detection; supervised structure ... See more keywords