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Stereo-vision-based 3D concrete crack detection using adversarial learning with balanced ensemble discriminator networks

Author(s): ORCID (Department of Geotechnical Engineering Research, Korea Institute of Civil Engineering and Building Technology (KICT), Goyang, Korea)
ORCID (Department of Civil and Environmental Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea)
(Department of Civil and Environmental Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea)
ORCID (Department of Geotechnical Engineering Research, Korea Institute of Civil Engineering and Building Technology (KICT), Goyang, Korea)
Medium: journal article
Language(s): English
Published in: Structural Health Monitoring, , n. 2, v. 22
Page(s): 147592172210978
DOI: 10.1177/14759217221097868
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: 10.1177/14759217221097868.
  • About this
    data sheet
  • Reference-ID
    10680473
  • Published on:
    18/06/2022
  • Last updated on:
    21/03/2023
 
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