MRA-Net: Improving VQA Via Multi-Modal Relation Attention Network

Visual Question Answering (VQA) is a task to answer natural language questions tied to the content of visual images. Most recent VQA approaches usually apply attention mechanism to focus on the relevant visual objects and/or consider the relations between objects via off-the-shelf methods in visual...

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Vydané v:	IEEE transactions on pattern analysis and machine intelligence Ročník 44; číslo 1; s. 318 - 329
Hlavní autori:	Peng, Liang, Yang, Yang, Wang, Zheng, Huang, Zi, Shen, Heng Tao
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States IEEE 01.01.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms attention mechanism Cognition Feature extraction Knowledge discovery Natural Language Processing Natural languages Object recognition Questions Reasoning relation attention Semantics Task analysis Visual question answering visual relation Visualization
ISSN:	0162-8828, 1939-3539, 2160-9292, 1939-3539
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