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Deep learning-based concrete defects classification and detection using semantic segmentation

Author(s): (Department of Civil Engineering, Lakehead University, Thunder Bay, ON, Canada)
ORCID (Department of Civil Engineering, University of Calgary, Calgary, AB, Canada)
(Department of Civil and Environmental Engineering, United Arab Emirates University, Al Ain, Abu Dhabi, UAE)
Medium: journal article
Language(s): English
Published in: Structural Health Monitoring, , n. 1, v. 23
Page(s): 147592172311682
DOI: 10.1177/14759217231168212
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: 10.1177/14759217231168212.
  • About this
    data sheet
  • Reference-ID
    10730078
  • Published on:
    30/05/2023
  • Last updated on:
    14/01/2024
 
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