Crack Detection Based on Generative Adversarial Networks and Deep Learning
Author:
Publisher
Springer Science and Business Media LLC
Subject
Civil and Structural Engineering
Link
https://link.springer.com/content/pdf/10.1007/s12205-022-0518-2.pdf
Reference37 articles.
1. Abdel-Qader I, Abudayyeh O, Kelly ME (2003) Analysis of edge-detection techniques for crack identification in bridges. Journal of Computing in Civil Engineering 17(4):255–263, DOI: https://doi.org/10.1061/(ASCE)0887-3801(2003)17:4(255)
2. Bang S, Park S, Kim H, Kim H (2019) Encoder-decoder network for pixel-level road crack detection in black-box images. Computer-Aided Civil and Infrastructure Engineering 34:713–727, DOI: https://doi.org/10.1111/mice.12440
3. Chen FC, Jahanshahi RMR (2017) NB-CNN: Deep learning-based crack detection using convolutional neural network and naïve bayes data fusion. IEEE Transactions on Industrial Electronics 65(9): 4392–4400, DOI: https://doi.org/10.1109/TIE.2017.2764844
4. Chen L, Papandreou G, Schroff F, Adam H (2017) Rethinking atrous convolution for semantic image segmentation. arXiv: 17605587
5. Choi K, Lim JS, Kim SW (2018) Real-time image reconstruction for low-dose CT using deep convolutional generative adversarial networks (GANs). Physics of Medical Imaging 1057332(2018), DOI: https://doi.org/10.1117/12.2293420
Cited by 21 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 non-local based microcrack segmentation model optimized for effective high resolution and low-power devices;Journal of Building Engineering;2024-11
2. Generative Design in the Built Environment;Automation in Construction;2024-10
3. VDCrackGAN: A Generative Adversarial Network with Transformer for Pavement Crack Data Augmentation;Applied Sciences;2024-09-05
4. Parametric image-based concrete defect assessment method;Case Studies in Construction Materials;2024-07
5. A controllable generative model for generating pavement crack images in complex scenes;Computer-Aided Civil and Infrastructure Engineering;2024-03-03
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3