Grounding Action Descriptions in Videos

نویسندگان
چکیده

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Grounding Action Descriptions in Videos

Recent work has shown that the integration of visual information into text-based models can substantially improve model predictions, but so far only visual information extracted from static images has been used. In this paper, we consider the problem of grounding sentences describing actions in visual information extracted from videos. We present a general purpose corpus that aligns high qualit...

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ژورنال

عنوان ژورنال: Transactions of the Association for Computational Linguistics

سال: 2013

ISSN: 2307-387X

DOI: 10.1162/tacl_a_00207