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Policy Gradient–Based Focal Loss to Reduce False Negative Errors of Convolutional Neural Networks for Pavement Crack Segmentation

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Medium: journal article
Language(s): English
Published in: Journal of Infrastructure Systems, , n. 1, v. 29
DOI: 10.1061/jitse4.iseng-2157
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: 10.1061/jitse4.iseng-2157.
  • About this
    data sheet
  • Reference-ID
    10714296
  • Published on:
    21/03/2023
  • Last updated on:
    21/03/2023
 
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