A state-of-the-art survey of deep learning models for automated pavement crack segmentationOA
A state-of-the-art survey of deep learning models for automated pavement crack segmentation
Hongren Gong;Liming Liu;Haimei Liang;Yuhui Zhou;Lin Cong
Key Laboratory of Road and Traffic Engineering of Ministry of Education,Tongji Univ.,4800 Cao'an Rd.,Shanghai 201804,ChinaKey Laboratory of Road and Traffic Engineering of Ministry of Education,Tongji Univ.,4800 Cao'an Rd.,Shanghai 201804,ChinaKey Laboratory of Road and Traffic Engineering of Ministry of Education,Tongji Univ.,4800 Cao'an Rd.,Shanghai 201804,ChinaKey Laboratory of Road and Traffic Engineering of Ministry of Education,Tongji Univ.,4800 Cao'an Rd.,Shanghai 201804,ChinaKey Laboratory of Road and Traffic Engineering of Ministry of Education,Tongji Univ.,4800 Cao'an Rd.,Shanghai 201804,China
Pavement maintenanceCrack detectionDeep learningSemantic segmentationReceptive field
Pavement maintenanceCrack detectionDeep learningSemantic segmentationReceptive field
《交通科学与技术（英文）》 2024 (1)
44-57,14
This study was sponsored by the National Natural Science Foundation of China(No.52008311,No.51878499,No.52178433),the Science and Technology Commission of Shanghai Municipality(No.21ZR1465700),and the Fundamental Research Funds for the Central Universities(No.2212020 0447 and No.22120220120).
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