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Semi-supervised learning for concrete defect segmentation from images

Author(s): ORCID (College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing, China)
(College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing, China)
(College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing, China)
(College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing, China)
Medium: journal article
Language(s): English
Published in: Structural Health Monitoring
DOI: 10.1177/14759217231217097
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: 10.1177/14759217231217097.
  • About this
    data sheet
  • Reference-ID
    10761086
  • Published on:
    23/03/2024
  • Last updated on:
    23/03/2024
 
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