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Automatic pixel-level detection method for concrete crack with channel-spatial attention convolution neural network

Author(s): (School of Automation, Chongqing University of Posts and Telecommunications, Chongqing, China)
(School of Automation, Chongqing University of Posts and Telecommunications, Chongqing, China)
(School of Automation, Chongqing University of Posts and Telecommunications, Chongqing, China)
(School of Automation, Chongqing University of Posts and Telecommunications, Chongqing, China)
(School of Automation, Chongqing University of Posts and Telecommunications, Chongqing, China)
(School of Automation, Chongqing University of Posts and Telecommunications, Chongqing, China)
Medium: journal article
Language(s): English
Published in: Structural Health Monitoring, , n. 2, v. 22
Page(s): 147592172211094
DOI: 10.1177/14759217221109496
Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1177/14759217221109496.
  • About this
    data sheet
  • Reference-ID
    10689854
  • Published on:
    13/08/2022
  • Last updated on:
    21/03/2023
 
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