  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.
