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Crack detection based on deep learning: a method for evaluating the object detection networks considering the random fractal of crack

Author(s): ORCID (State Key Laboratory for Strength and Vibration of Mechanical Structures, Xi’an Jiaotong University, Xi’an, China)
(China Nuclear Power Engineering Co., Ltd, Shenzhen, China)
(School of Computer Science, Northwestern Polytechnical University, Xi’an, China)
(School of Computer Science, Shaanxi Normal University, Xi’an, China)
(State Key Laboratory for Strength and Vibration of Mechanical Structures, Xi’an Jiaotong University, Xi’an, China)
(State Key Laboratory for Strength and Vibration of Mechanical Structures, Xi’an Jiaotong University, Xi’an, China)
Medium: journal article
Language(s): English
Published in: Structural Health Monitoring, , n. 4, v. 22
Page(s): 147592172211234
DOI: 10.1177/14759217221123485
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: 10.1177/14759217221123485.
  • About this
    data sheet
  • Reference-ID
    10702191
  • Published on:
    16/12/2022
  • Last updated on:
    21/06/2023
 
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