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Action Quality Assessment Across Multiple Actions

机译:跨多个动作的动作质量评估

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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.
机译:学习衡量一个动作的质量可以帮助衡量其他动作的质量吗?如果是这样,那么来自多个操作的合并样本是否可以帮助改善当前方法的性能?在本文中,我们进行实验以了解在动作质量评估(AQA)设置中是否可以进行知识转移。实验是在我们新发布的AQA数据集(http://rtis.oit.unlv.edu/datasets.html)上进行的,该数据集由来自7个动作的1106个动作样本组成,这些动作的质量由专家评审确定。我们的实验结果表明,在跨多个动作学习单个模型方面很有用。

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