Automatic pixel-level detection method for concrete crack with channel-spatial attention convolution neural network
Author(s): |
Yuanyuan Li
(School of Automation, Chongqing University of Posts and Telecommunications, Chongqing, China)
Meng Yu (School of Automation, Chongqing University of Posts and Telecommunications, Chongqing, China) Decheng Wu (School of Automation, Chongqing University of Posts and Telecommunications, Chongqing, China) Rui Li (School of Automation, Chongqing University of Posts and Telecommunications, Chongqing, China) Kefei Xu (School of Automation, Chongqing University of Posts and Telecommunications, Chongqing, China) Longqi Cheng (School of Automation, Chongqing University of Posts and Telecommunications, Chongqing, China) |
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Medium: | journal article |
Language(s): | English |
Published in: | Structural Health Monitoring, May 2022, n. 2, v. 22 |
Page(s): | 147592172211094 |
DOI: | 10.1177/14759217221109496 |
- About this
data sheet - Reference-ID
10689854 - Published on:
13/08/2022 - Last updated on:
21/03/2023