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Research on visual question answering based on dynamic memory network model of multiple attention mechanisms
Since the existing visual question answering model lacks long-term memory modules for answering complex questions, it is easy to cause the loss of effective information. In order to further improve the accuracy of the visual question answering model, this paper applies the multiple attention mechani...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9537137/ https://www.ncbi.nlm.nih.gov/pubmed/36202900 http://dx.doi.org/10.1038/s41598-022-21149-9 |