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Automatic segmentation, inpainting, and classification of defective patterns on ancient architecture using multiple deep learning algorithms

Author(s): (State Key Laboratory of Coastal and Offshore, Engineering School of Civil Engineering Dalian University of Technology Dalian 116024 China)
(Architectural Heritage Department The Palace Museum Beijing 100006 China)
ORCID (State Key Laboratory of Coastal and Offshore, Engineering School of Civil Engineering Dalian University of Technology Dalian 116024 China)
Medium: journal article
Language(s): English
Published in: Structural Control and Health Monitoring, , n. 7, v. 28
DOI: 10.1002/stc.2742
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: 10.1002/stc.2742.
  • About this
    data sheet
  • Reference-ID
    10601182
  • Published on:
    17/04/2021
  • Last updated on:
    29/06/2021
 
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