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...

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Detalles Bibliográficos
Autores principales: Li, Qifeng, Tang, Xinyi, Jian, Yi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8874875/
https://www.ncbi.nlm.nih.gov/pubmed/35214484
http://dx.doi.org/10.3390/s22041575

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