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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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Bibliografiske detaljer
Udgivet i:PeerJ Comput Sci
Main Authors: Ma, Zhiyang, Zheng, Wenfeng, Chen, Xiaobing, Yin, Lirong
Format: Artigo
Sprog:Inglês
Udgivet: PeerJ Inc. 2021
Fag:
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7959642/
https://ncbi.nlm.nih.gov/pubmed/33817003
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.7717/peerj-cs.353
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