Automatic Pixel-Level Pavement Crack Recognition Using a Deep Feature Aggregation Segmentation Netwo...
Automatic Pixel-Level Pavement Crack Recognition Using a Deep Feature Aggregation Segmentation Network with a scSE Attention Mechanism Module
About this item
Full title
Author / Creator
Qiao, Wenting , Liu, Qiangwei , Wu, Xiaoguang , Ma, Biao and Li, Gang
Publisher
Switzerland: MDPI AG
Journal title
Language
English
Formats
Publication information
Publisher
Switzerland: MDPI AG
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Scope and Contents
Contents
Pavement crack detection is essential for safe driving. The traditional manual crack detection method is highly subjective and time-consuming. Hence, an automatic pavement crack detection system is needed to facilitate this progress. However, this is still a challenging task due to the complex topology and large noise interference of crack images....
Alternative Titles
Full title
Automatic Pixel-Level Pavement Crack Recognition Using a Deep Feature Aggregation Segmentation Network with a scSE Attention Mechanism Module
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Author / Creator
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_46ef3af7d06045f48c5e5987c2b2eb6a
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_46ef3af7d06045f48c5e5987c2b2eb6a
Other Identifiers
ISSN
1424-8220
E-ISSN
1424-8220
DOI
10.3390/s21092902
