Pavement crack detection based on saliency and statistical features-Reference-Cited by-同舟云学术

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Pavement crack detection based on saliency and statistical features

Published:2013-09 Issue: Volume: Page:
ISSN:
Container-title:2013 IEEE International Conference on Image Processing
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Author:

Xu Wei,Tang Zhenmin,Zhou Jun,Ding Jundi

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/6726158/6737993/06738843.pdf?arnumber=6738843

Cited by 43 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. Automatic Pixel-Level Segmentation of Multiple Pavement Distresses and Surface Design Features with PDSNet II;Journal of Computing in Civil Engineering;2024-11

2. GGMNet: Pavement-Crack Detection Based on Global Context Awareness and Multi-Scale Fusion;Remote Sensing;2024-05-18

3. DepthCrackNet: A Deep Learning Model for Automatic Pavement Crack Detection;Journal of Imaging;2024-04-26

4. Dual-path network combining CNN and transformer for pavement crack segmentation;Automation in Construction;2024-02

5. A multi-scale residual encoding network for concrete crack segmentation;Journal of Intelligent & Fuzzy Systems;2024-01-10

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