《計算機應用研究》|Application Research of Computers

視覺—語言—行為:視覺語言融合研究綜述

Vision-language-action:survey of integration of vision and language

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作者 李睿,鄭順義,王西旗
機構 武漢大學 遙感信息工程學院,武漢 430079
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文章編號 1001-3695(2020)11-002-3206-07
DOI 10.19734/j.issn.1001-3695.2019.09.0512
摘要 通過語言給予智能體指示使其完成通用性的任務是人工智能領域的愿景之一。近年來有越多越多的學者試圖通過融合計算機視覺與自然語言處理領域的相關技術以期實現此目標。為了及時跟進相關領域的研究,把握視覺與語言融合方向前沿,對于視覺—語言—行為最新進展進行綜述。首先簡單介紹了融合視覺與語言的弱耦合嘗試,之后重點綜述了視覺—語言—行為這一最新方向相關的視覺語言導航、具身問答及其相似研究,最后總結了制約此領域發展的關鍵問題及可能的解決方案。
關鍵詞 計算機視覺; 自然語言處理; 深度學習; 視覺語言導航; 具身問答
基金項目 國家自然科學基金資助項目(41671452)
本文URL http://www.gvztwvrl.buzz/article/01-2020-11-002.html
英文標題 Vision-language-action:survey of integration of vision and language
作者英文名 Li Rui, Zheng Shunyi, Wang Xiqi
機構英文名 School of Remote Sensing & Information Engineering,Wuhan University,Wuhan 430079,China
英文摘要 The idea that might be able to give general and verbal instructions to a agent and have at least a reasonable probability that it will carry out the required task is one of the long-held visions of robotics and artificial intelligence(AI). It has noticed that more and more scholars in recent years have tried to this target using the latest advances in the field of computer vision and natural language progressing. In order to follow up the research in related fields and grasp the frontier of the fusion of vision and language, this paper reviewed the latest progress of visual-language-behavior. It first introduced the weak coupling experiment of fusion between vision and language, then focused on the vision-and-language navigation, the embodied question answering and their similar research, and finally looked forward to the future development trends in this field.
英文關鍵詞 computer vision; natural language progressing; deep learning; vision and language navigation; embodied question answering
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收稿日期 2019/9/9
修回日期 2019/11/6
頁碼 3206-3212
中圖分類號 TP181
文獻標志碼 A
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