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Action Quality Assessment Across Multiple Actions

2018-12-15Code Available0· sign in to hype

Paritosh Parmar, Brendan Tran Morris

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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.

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Benchmark Results

DatasetModelMetricClaimedVerifiedStatus
AQA-7Single-Action C3D-SVRSpearman Correlation69.37Unverified
AQA-7All-Action C3D-LSTMSpearman Correlation64.78Unverified
AQA-7Single-Action C3D-LSTMSpearman Correlation61.65Unverified

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