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Automatic Crack Detection on Road Pavements Using Encoder-Decoder Architecture.

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第一作者： Zhun,Fan

第一单位： Key Lab of Digital Signal and Image Processing of Guangdong Province, Department of Electronic and information Engineering, College of Engineering, Shantou University, Shan'tou 515063, China.

作者： Zhun,Fan ^[1] ; Chong,Li ^[2] ; Ying,Chen ^[1] ; Jiahong,Wei ^[1] ; Giuseppe,Loprencipe ^[3] ; Xiaopeng,Chen ^[4] ; Paola,Di Mascio ^[3]

作者单位： Key Lab of Digital Signal and Image Processing of Guangdong Province, Department of Electronic and information Engineering, College of Engineering, Shantou University, Shan'tou 515063, China. ^[1] Key Lab of Digital Signal and Image Processing of Guangdong Province, Department of Electronic and information Engineering, College of Engineering, Shantou University, Shan'tou 515063, China.;Department of Civil, Constructional and Environmental Engineering, Sapienza University of Rome, 00184 Rome, Italy. ^[2] Department of Civil, Constructional and Environmental Engineering, Sapienza University of Rome, 00184 Rome, Italy. ^[3] Department of Industrial Engineering, Pusan National University, Busan 609735, Korea. ^[4]

关键词 U-net automatic crack detection deep learning dilated Convolution encoder-decoder hierarchical feature pavement cracking

DOI 10.3390/ma13132960

PMID 32630713

发布时间 2020-09-28

基金项目

180917144960530/Science and Technology Planning Project of Guangdong Province of China 2017KZDXM032/Project of Educational Commission of Guangdong Province of China DMETKF2019020/State Key Lab of Digital Manufacturing Equipment and Technology 2019A050519008/Project of Robot Automatic Design Platform combining Multi-Objective Evolutionary Computation and Deep Neural Network

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准确一般字义偏差语意偏离译文作用小提交