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A self‐supervised monocular depth estimation model with scale recovery and transfer learning for construction scene analysis

Author(s): (School of Computer Science & Engineering University of Electronic Science and Technology of China Chengdu China)
(School of Computer Science & Engineering University of Electronic Science and Technology of China Chengdu China)
(School of Computer Science & Engineering University of Electronic Science and Technology of China Chengdu China)
(Department of Science & Technology ManagementHydroChina Chengdu Engineering Corporation ChengduChina)
Medium: journal article
Language(s): English
Published in: Computer-Aided Civil and Infrastructure Engineering, , n. 9, v. 38
Page(s): 1142-1161
DOI: 10.1111/mice.12938
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: 10.1111/mice.12938.
  • About this
    data sheet
  • Reference-ID
    10696413
  • Published on:
    11/12/2022
  • Last updated on:
    02/09/2023
 
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