Crack Detecting by Recursive Attention U-Net-Reference-Cited by-同舟云学术

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Crack Detecting by Recursive Attention U-Net

Published:2020-11-05 Issue: Volume: Page:
ISSN:
Container-title:2020 3rd International Conference on Robotics, Control and Automation Engineering (RCAE)
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Author:

Wu Zhihao,Lu Tao,Zhang Yanduo,Wang Bo,Zhao Xungang

Funder

National Natural Science Foundation of China

Natural Science Foundation of Hubei Province

Wuhan Institute of Technology

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9294154/9294178/09294343.pdf?arnumber=9294343

Cited by 12 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. Rs-net: Residual Sharp U-Net architecture for pavement crack segmentation and severity assessment;Journal of Big Data;2024-08-17

2. Joint Optimization of Crack Segmentation With an Adaptive Dynamic Threshold Module;IEEE Transactions on Intelligent Transportation Systems;2024-07

3. Research on Brain Tumor Segmentation Using a 3D U-Net with Deformable Convolution;2024 5th International Conference on Information Science, Parallel and Distributed Systems (ISPDS);2024-05-31

4. An enhanced crack segmentation method using implicit classification and inference rules in steel bridge;The Visual Computer;2024-04-29

5. Pavement Crack Segmentation Using an Attention-Based Deep Learning Model;Proceedings of the 4th International Conference on Sustainability in Civil Engineering;2023-08-13

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