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Learning to Reason on Tree Structures for Knowledge-Based Visual Question Answering
Collaborative reasoning for knowledge-based visual question answering is challenging but vital and efficient in understanding the features of the images and questions. While previous methods jointly fuse all kinds of features by attention mechanism or use handcrafted rules to generate a layout for p...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8874875/ https://www.ncbi.nlm.nih.gov/pubmed/35214484 http://dx.doi.org/10.3390/s22041575 |