BriefGPT.xyz
Feb, 2015
利用有限数据标注发现视频中的人类交互
Discovering Human Interactions in Videos with Limited Data Labeling
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Mehran Khodabandeh, Arash Vahdat, Guang-Tong Zhou, Hossein Hajimirsadeghi, Mehrsan Javan Roshtkhari...
TL;DR
该研究提出了一种基于最大边际聚类和用户反馈的无监督学习方法,可以在仅有少量标注的情况下,有效地发现视频中的人类交互并生成有意义的语义聚类。
Abstract
We present a novel approach for discovering
human interactions
in
videos
. Activity understanding techniques usually require a large number of labeled examples, which are not available in many practical cases. Her
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