Improving reasoning with contrastive visual information for visual question answering

Abstract Visual Question Answering (VQA) aims to output a correct answer based on cross‐modality inputs including question and visual content. In general pipeline, information reasoning plays the key role for a reasonable answer. However, visual information is commonly not fully employed in many pop...

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Bibliographic Details
Main Authors: Yu Long, Pengjie Tang, Hanli Wang, Jian Yu
Format: Article
Language:English
Published: Wiley 2021-09-01
Series:Electronics Letters
Online Access:https://doi.org/10.1049/ell2.12255

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