Computer vision for structural damage quantification: A novel residual deep learning based approach-Reference-Cited by-同舟云学术

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Computer vision for structural damage quantification: A novel residual deep learning based approach

Published:2018-06-15 Issue: Volume: Page:1057-1063
ISSN:
Container-title:Safety and Reliability – Safe Societies in a Changing World
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Author:

Astorga N.,Droguett E. López,Meruane V.

Publisher

CRC Press

Reference1 articles.

1. Arbelaez, P. , B. Hariharan , C. Gu , S. Gupta , L. Bourdev , and J. Malik . Semantic segmentation using regions and parts. In CVPR, pages 3378–3385, june 2012.

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A comparison between computer vision- and deep learning-based models for automated concrete crack detection;Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability;2022-12-20

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