ARF-Crack: rotation invariant deep fully convolutional network for pixel-level crack detection
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Computer Vision and Pattern Recognition,Hardware and Architecture,Software
Link
https://link.springer.com/content/pdf/10.1007/s00138-020-01098-x.pdf
Reference40 articles.
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3. Bang, S., Park, S., Kim, H., Kim, H.: Encoder–decoder network for pixel-level road crack detection in black-box images. Comput. Aided Civ. Infrastruct. Eng. 34(8), 713–727 (2019)
4. Bengio, Y.: Practical recommendations for gradient-based training of deep architectures. arXiv:1206.5533 [cs] (2012)
5. Cha, Y.J., Choi, W., Büyüköztürk, O.: Deep learning-based crack damage detection using convolutional neural networks. Comput. Aided Civ. Infrastruct. Eng. 32(5), 361–378 (2017). https://doi.org/10.1111/mice.12263
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