A deep convolutional neural network to simultaneously localize and recognize waste types in images.

Liang, Shuang; Gu, Yu

Liang, Shuang; Gu, Yu.

Afiliação

Liang S; School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China. Electronic address: liangshuang@xs.ustb.edu.cn.
Gu Y; School of Automation, Guangdong University of Petrochemical Technology, Maoming 525000, Guangdong, China; Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing 100029, China; Department of Chemistry, Institute of Inorganic and Analytical Chemistry, Goethe-University, 60438 Frankfurt, Germany. Electronic address: guyu@mail.buct.edu.cn.

Waste Manag ; 126: 247-257, 2021 May 01.

Article em En | MEDLINE | ID: mdl-33780704

Assuntos

Algoritmos; Redes Neurais de Computação

Palavras-chave

Attention mechanism; Convolutional neural network; Multi-task learning; Object detection; Waste classification benchmark; Waste recognition and localization

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Redes Neurais de Computação Tipo de estudo: Prognostic_studies Idioma: En Revista: Waste Manag Assunto da revista: SAUDE AMBIENTAL / TOXICOLOGIA Ano de publicação: 2021 Tipo de documento: Article País de publicação: Estados Unidos

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