跨多个行动的行动质量评估

Paritosh Parmar, B. Morris
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引用次数: 78

摘要

学会衡量一个行为的质量是否有助于衡量其他行为的质量?如果是这样,来自多个操作的合并样本是否有助于改进当前方法的性能?在本文中,我们进行了实验,看看知识转移是否可能在行动质量评估(AQA)设置。实验在我们新发布的AQA数据集(http://rtis.oit.unlv.edu/datasets.html)上进行,该数据集由7个动作的1106个动作样本组成,这些动作的质量由人类专家判断。我们的实验结果表明,跨多个动作学习单个模型是有用的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Action Quality Assessment Across Multiple Actions
Can learning to measure the quality of an action help in measuring the quality of other actions? If so, can consolidated samples from multiple actions help improve the performance of current approaches? In this paper, we carry out experiments to see if knowledge transfer is possible in the action quality assessment (AQA) setting. Experiments are carried out on our newly released AQA dataset (http://rtis.oit.unlv.edu/datasets.html) consisting of 1106 action samples from seven actions with quality as measured by expert human judges. Our experimental results show that there is utility in learning a single model across multiple actions.
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