Multi-step Reasoning via Recurrent Dual Attention for Visual Dialog

ACL 2019 Zhe GanYu ChengAhmed El KholyLinjie LiJingjing LiuJianfeng Gao

This paper presents a new model for visual dialog, Recurrent Dual Attention Network (ReDAN), using multi-step reasoning to answer a series of questions about an image. In each question-answering turn of a dialog, ReDAN infers the answer progressively through multiple reasoning steps... (read more)

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