Joint embedding VQA model based on dynamic word vector

The existing joint embedding Visual Question Answering models use different combinations of image characterization, text characterization and feature fusion method, but all the existing models use static word vectors for text characterization. However, in the real language environment, the same word...

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Detalles Bibliográficos
Autores principales: Ma, Zhiyang, Zheng, Wenfeng, Chen, Xiaobing, Yin, Lirong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2021
Materias:
Human-Computer Interaction
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7959642/
https://www.ncbi.nlm.nih.gov/pubmed/33817003
http://dx.doi.org/10.7717/peerj-cs.353

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7959642/
https://www.ncbi.nlm.nih.gov/pubmed/33817003
http://dx.doi.org/10.7717/peerj-cs.353

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