GBC-BCD: an improved bridge crack detection method based on bidirectional Laplacian pyramid structure with lightweight attention mechanism convolution-Reference-Cited by-同舟云学术

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GBC-BCD: an improved bridge crack detection method based on bidirectional Laplacian pyramid structure with lightweight attention mechanism convolution

Published:2024-04-05 Issue: Volume: Page:1-21
ISSN:1058-9759
Container-title:Nondestructive Testing and Evaluation
language:en
Short-container-title:Nondestructive Testing and Evaluation

Author:

Zhang Jing¹²,Chen Zijie¹,Zou Hailin¹,Xue Shuai¹²,He Jia²³,Li Jianqing¹

Affiliation:

1. School of Computer Science and Engineering, Macau University of Science and Technology, Macau, China

2. School of Applied Science and Civil Engineering, Beijing Institute of Technology, Zhuhai, China

3. Faculty of Data Science, City University of Macau, Macau, China

Funder

Fund of Guangdong-Hong Kong-Macao Joint Laboratory for Intelligent Micro-Nano Optoelectronic Technology

Youth Talent Innovation Project of Guangdong Education Department

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/10589759.2024.2338921

Reference59 articles.

1. State-of-the-Art Review on the Causes and Mechanisms of Bridge Collapse

2. Huthwohl P, Lu R, Brilakis I. Challenges of bridge maintenance inspection. Proceeding of 16th International Conference on Computing in Civil and Building Engineering; Osaka, Japan; 2016. p. 51–58.

3. Visual-Based Defect Detection and Classification Approaches for Industrial Applications—A SURVEY

4. Object Detection in 20 Years: A Survey

5. Salient object detection: A survey

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