MRA-Net: Improving VQA Via Multi-Modal Relation Attention Network
IEEE Transactions on Pattern Analysis and Machine Intelligence(2022)
摘要
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 relation reasoning. However, they still suffer from several drawbacks. First, they mostly model the ...
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关键词
Visualization,Feature extraction,Semantics,Knowledge discovery,Cognition,Task analysis,Natural languages
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