An End-To-End Computer Vision System Based on Deep Learning for Pavement Distress Detection and Quantification

AuthID
 P-016-858
5
Author(s)
Cano-Ortiz S.
·
Martinez Ruiz del Árbol P.
·
Lastra-González P.
·
Castro-Fresno D.
Document Type
Article
Year published
2024
Published
in Construction and Building Materials, ISSN: 09500618
Volume: 416
Indexing
Scopus®
Google Scholar®
Publication Identifiers
Scopus: 2-s2.0-85185465908
Source Identifiers
ISSN: 09500618
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