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.
Tasks
Benchmark Results
| Dataset | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| AQA-7 | Single-Action C3D-SVR | Spearman Correlation | 69.37 | — | Unverified |
| AQA-7 | All-Action C3D-LSTM | Spearman Correlation | 64.78 | — | Unverified |
| AQA-7 | Single-Action C3D-LSTM | Spearman Correlation | 61.65 | — | Unverified |