首页|期刊导航|交通科学与技术（英文）|A state-of-the-art survey of deep learning models for automated pavement crack segmentation
交通科学与技术（英文）2024，Vol.13Issue(1)：44-57,14.DOI:10.1016/j.ijtst.2023.11.005
A state-of-the-art survey of deep learning models for automated pavement crack segmentation
A state-of-the-art survey of deep learning models for automated pavement crack segmentation
摘要
关键词
Pavement maintenance/Crack detection/Deep learning/Semantic segmentation/Receptive fieldKey words
Pavement maintenance/Crack detection/Deep learning/Semantic segmentation/Receptive field引用本文复制引用
Hongren Gong,Liming Liu,Haimei Liang,Yuhui Zhou,Lin Cong..A state-of-the-art survey of deep learning models for automated pavement crack segmentation[J].交通科学与技术（英文）,2024,13(1):44-57,14.基金项目
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). （No.52008311,No.51878499,No.52178433）
