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Toward Accurate Visual Reasoning With Dual-Path Neural Module Networks
Visual reasoning is a critical stage in visual question answering (Antol et al., 2015), but most of the state-of-the-art methods categorized the VQA tasks as a classification problem without taking the reasoning process into account. Various approaches are proposed to solve this multi-modal task tha...
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| Publicado no: | Front Robot AI |
|---|---|
| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Frontiers Media S.A.
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7805672/ https://ncbi.nlm.nih.gov/pubmed/33501276 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/frobt.2020.00109 |
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