【作者单位】1School of Environmental Science and Engineering, Tianjin University, Tianjin; 300350, China;2School of Mechanical Engineering, Tianjin University of Commerce, Tianjin; 300134, China;3Tianjin Key Lab of Biomass Wastes Utilization, Tianjin Engineering Research Center of Bio Gas/Oil Technology, Tianjin; 300072, China;4School of Science, Tibet University, Lhasa; 850012, China
【年份】2024
【ISSN】1556-5068
【摘要】 Data enhancement is an emerging approach to solve the limited sample size for computer vision-based municipal solid waste classification. To overcome the unmatched features between real MSW pictures and those generated by data enhancement, this pape...
