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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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| Publicado no: | PeerJ Comput Sci |
|---|---|
| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
PeerJ Inc.
2021
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| Assuntos: | |
| Acesso em linha: | 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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