The multi-modal fusion in visual question answering: a review of attention mechanisms.

Lu, Siyu; Liu, Mingzhe; Yin, Lirong; Yin, Zhengtong; Liu, Xuan; Zheng, Wenfeng

Lu, Siyu; Liu, Mingzhe; Yin, Lirong; Yin, Zhengtong; Liu, Xuan; Zheng, Wenfeng.

Afiliação

Lu S; School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan Province, China.
Liu M; School of Data Science and Artificial Intelligence, Wenzhou University of Technology, Wenzhou, China.
Yin L; Department of Geography and Anthropology, Louisiana State University, Baton Rouge, LA, United States of America.
Yin Z; College of Resource and Environment Engineering, Guizhou University, Guiyang, China.
Liu X; School of Public Affairs and Administration, University of Electronic Science and Technology of China, Chengdu, China.
Zheng W; School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan Province, China.

PeerJ Comput Sci ; 9: e1400, 2023.

Article em En | MEDLINE | ID: mdl-37346665

Palavras-chave

Attention; Attention mechanisms; Fusion; Multi-modal; VQA; Visual question answering

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

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