Block pavement and distress segmentation using deep learning models
Author:
Funder
Chung-Ang University
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s41062-024-01533-2.pdf
Reference27 articles.
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3. Fan Z, Wu Y, Lu J, Li W (2018) Automatic Pavement Crack Detection Based on Structured Prediction with the Convolutional Neural Network. arXiv 01 Feb 2018. https://doi.org/10.48550/arXiv.1802.02208
4. David Jenkins M, Carr TA, Iglesias MI, Buggy T, Morison G (2018) A Deep Convolutional Neural Network for Semantic Pixel-Wise Segmentation of Road and Pavement Surface Cracks. In: 2018 26th European Signal Processing Conference (EUSIPCO), Rome: IEEE, pp 2120–2124. https://doi.org/10.23919/EUSIPCO.2018.8553280.
5. Liu J et al (2020) Automated pavement crack detection and segmentation based on two-step convolutional neural network. Comput-Aided Civ Infrastruct Eng 35(11):1291–1305. https://doi.org/10.1111/mice.12622
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