Automated Bridge Crack Detection Based on Improving Encoder–Decoder Network and Strip Pooling-Reference-Cited by-同舟云学术

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Automated Bridge Crack Detection Based on Improving Encoder–Decoder Network and Strip Pooling

Published:2023-06 Issue:2 Volume:29 Page:
ISSN:1076-0342
Container-title:Journal of Infrastructure Systems
language:en
Short-container-title:J. Infrastruct. Syst.

Author:

Li Gang¹,Fang Zhongyuan²,Mohammed Al Mahbashi³,Liu Tong³,Deng Zhihao³

Affiliation:

1. Professor, School of Energy and Electrical Engineering, Chang’an Univ., Xi’an, Shaanxi 710064, China.

2. School of Electronic and Control Engineering, Chang’an Univ., Xi’an, Shaanxi 710064, China (corresponding author).

3. School of Electronic and Control Engineering, Chang’an Univ., Xi’an, Shaanxi 710064, China.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Civil and Structural Engineering

Link

https://ascelibrary.org/doi/pdf/10.1061/JITSE4.ISENG-2218

Reference36 articles.

1. Increasing the robustness of material-specific deep learning models for crack detection across different materials;Alipour M.;Eng. Struct.,2020

2. Encoder–decoder network for pixel‐level road crack detection in black‐box images

3. Deep Learning-Based Crack Damage Detection Using Convolutional Neural Networks

4. Chen L.-C. Y. Zhu G. Papandreou F. Schroff and H. Adam. 2018. “Encoder-decoder with atrous separable convolution for semantic image segmentation.” In Proc. European Conf. on Computer Vision (ECCV) 801–818. Florence Italy: European Conference on Computer Vision.

5. Automatic Road Defect Detection by Textural Pattern Recognition Based on AdaBoost

Cited by 4 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. Coarse–Fine Combined Bridge Crack Detection Based on Deep Learning;Applied Sciences;2024-06-08

2. A Rapid Bridge Crack Detection Method Based on Deep Learning;Applied Sciences;2023-08-31

3. Research on the Efficiency of Bridge Crack Detection by Coupling Deep Learning Frameworks with Convolutional Neural Networks;Sensors;2023-08-19

4. Automated crack segmentation on 3D asphalt surfaces with richer attention and hybrid pyramid structures;International Journal of Pavement Engineering;2023-08-15

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