Reconstructed SqueezeNext with C-CBAM for offline handwritten Chinese character recognition.

Wu, Ruiqi; Zhou, Feng; Li, Nan; Liu, Xian; Wang, Rugang

Wu, Ruiqi; Zhou, Feng; Li, Nan; Liu, Xian; Wang, Rugang.

Afiliação

Wu R; School of Information Technology, Yancheng Institute of Technology, Yancheng, Jiangsu, China.
Zhou F; School of Information Technology, Yancheng Institute of Technology, Yancheng, Jiangsu, China.
Li N; School of Information Technology, Yancheng Institute of Technology, Yancheng, Jiangsu, China.
Liu X; School of Information Technology, Yancheng Institute of Technology, Yancheng, Jiangsu, China.
Wang R; School of Information Technology, Yancheng Institute of Technology, Yancheng, Jiangsu, China.

PeerJ Comput Sci ; 9: e1529, 2023.

Article em En | MEDLINE | ID: mdl-37705648

Palavras-chave

Attention model; CNN; Character recognition; Lightweight model

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: PeerJ Comput Sci Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China País de publicação: Estados Unidos

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