Attention-Based Convolutional Neural Network for Ingredients Identification.

Chen, Shi; Li, Ruixue; Wang, Chao; Liang, Jiakai; Yue, Keqiang; Li, Wenjun; Li, Yilin

Chen, Shi; Li, Ruixue; Wang, Chao; Liang, Jiakai; Yue, Keqiang; Li, Wenjun; Li, Yilin.

Afiliación

Chen S; School of Electronic Information, Hangzhou Dianzi University, Hangzhou 310005, China.
Li R; School of Electronic Information, Hangzhou Dianzi University, Hangzhou 310005, China.
Wang C; School of Electronic Information, Hangzhou Dianzi University, Hangzhou 310005, China.
Liang J; School of Electronic Information, Hangzhou Dianzi University, Hangzhou 310005, China.
Yue K; School of Electronic Information, Hangzhou Dianzi University, Hangzhou 310005, China.
Li W; School of Electronic Information, Hangzhou Dianzi University, Hangzhou 310005, China.
Li Y; School of Electronic Information, Hangzhou Dianzi University, Hangzhou 310005, China.

Entropy (Basel) ; 25(2)2023 Feb 20.

Article en En | MEDLINE | ID: mdl-36832753

Palabras clave

artificial intelligence; convolutional neural network; ingredients identification; multi-attention module; open set recognition

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Entropy (Basel) Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza

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