LAG-YOLO:Efficient road damage detector via lightweight attention ghost moduleOA
LAG-YOLO:Efficient road damage detector via lightweight attention ghost module
Junxin Chen;Xiaojie Yu;Qiankun Li;Wei Wang;Ben-Guo He
School of Software,Dalian University of Technology,Dalian 116621,ChinaSchool of Software,Dalian University of Technology,Dalian 116621,ChinaDepartment of Automation,University of Science and Technology of China,Hefei 230027,ChinaGuangdong-Hong Kong-Macao Joint Laboratory for Emotion Intelligence and Pervasive Computing,Artificial Intelligence Research Institute,Shenzhen MSU-BIT University,Shenzhen 518038,ChinaKey Laboratory of Ministry of Education on Safe Mining of Deep Metal Mines,Northeastern University,Shenyang 110819,China
road damagedeep learninglightweight detectorattention mechanism
road damagedeep learninglightweight detectorattention mechanism
《智能建造学报（英文）》 2024 (1)
30-39,10
This work is funded by the National Natural Science Foundation of China (Nos. 52222810 and 62171114)and the Fundamental Research Funds for the Central Universities (No. DUT22RC(3)099).
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