Action Quality Assessment Across Multiple Actions

被引:63
|
作者
Parmar, Paritosh [1 ]
Morris, Brendan Tran [1 ]
机构
[1] Univ Nevada, Las Vegas, NV 89154 USA
关键词
D O I
10.1109/WACV.2019.00161
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
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.
引用
收藏
页码:1468 / 1476
页数:9
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