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Bayesian-optimized unsupervised semantic segmentation model for structural crack detection

Author(s): (School of Civil Engineering and Architecture, Zhejiang Sci-Tech University, Hangzhou, China)
ORCID (The Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji University, Shanghai, China)
(School of Civil Engineering, Tongji University, Shanghai, China)
Medium: journal article
Language(s): English
Published in: Advances in Structural Engineering, , n. 3, v. 27
Page(s): 432-449
DOI: 10.1177/13694332231222093
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: 10.1177/13694332231222093.
  • About this
    data sheet
  • Reference-ID
    10749742
  • Published on:
    14/01/2024
  • Last updated on:
    10/02/2024
 
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