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Real-Time Target Detection Method Based on Lightweight Convolutional Neural Network.
Yun, Juntong; Jiang, Du; Liu, Ying; Sun, Ying; Tao, Bo; Kong, Jianyi; Tian, Jinrong; Tong, Xiliang; Xu, Manman; Fang, Zifan.
Afiliação
  • Yun J; Key Laboratory of Metallurgical Equipment and Control Technology of Ministry of Education, Wuhan University of Science and Technology, Wuhan, China.
  • Jiang D; Research Center for Biomimetic Robot and Intelligent Measurement and Control, Wuhan University of Science and Technology, Wuhan, China.
  • Liu Y; Key Laboratory of Metallurgical Equipment and Control Technology of Ministry of Education, Wuhan University of Science and Technology, Wuhan, China.
  • Sun Y; Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering, Wuhan University of Science and Technology, Wuhan, China.
  • Tao B; Precision Manufacturing Research Institute, Wuhan University of Science and Technology, Wuhan, China.
  • Kong J; Research Center for Biomimetic Robot and Intelligent Measurement and Control, Wuhan University of Science and Technology, Wuhan, China.
  • Tian J; Precision Manufacturing Research Institute, Wuhan University of Science and Technology, Wuhan, China.
  • Tong X; Key Laboratory of Metallurgical Equipment and Control Technology of Ministry of Education, Wuhan University of Science and Technology, Wuhan, China.
  • Xu M; Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering, Wuhan University of Science and Technology, Wuhan, China.
  • Fang Z; Precision Manufacturing Research Institute, Wuhan University of Science and Technology, Wuhan, China.
Front Bioeng Biotechnol ; 10: 861286, 2022.
Article em En | MEDLINE | ID: mdl-36051585
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Revista: Front Bioeng Biotechnol Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Revista: Front Bioeng Biotechnol Ano de publicação: 2022 Tipo de documento: Article