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Visual–auditory learning network for construction equipment action detection

Author(s): (Department of Architecture & Architectural Engineering Yonsei University Seoul Republic of Korea)
(Department of Architecture & Architectural Engineering Yonsei University Seoul Republic of Korea)
(School of Architecture Civil Engineering Environment and Energy Kyungpook National University Daegu Republic of Korea)
(School of Architecture Seoul National University of Science and Technology Seoul Republic of Korea)
(Department of Architecture & Architectural Engineering Yonsei University Seoul Republic of Korea)
Medium: journal article
Language(s): English
Published in: Computer-Aided Civil and Infrastructure Engineering, , n. 14, v. 38
Page(s): 1916-1934
DOI: 10.1111/mice.12983
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.12983.
  • About this
    data sheet
  • Reference-ID
    10708773
  • Published on:
    21/03/2023
  • Last updated on:
    02/09/2023
 
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