English

Action Quality Assessment Across Multiple Actions

Computer Vision and Pattern Recognition 2019-04-10 v2

Abstract

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 scores as measured by expert human judges. Our experimental results show that there is utility in learning a single model across multiple actions.

Keywords

Cite

@article{arxiv.1812.06367,
  title  = {Action Quality Assessment Across Multiple Actions},
  author = {Paritosh Parmar and Brendan Tran Morris},
  journal= {arXiv preprint arXiv:1812.06367},
  year   = {2019}
}

Comments

WACV 2019

R2 v1 2026-06-23T06:43:37.426Z