Papers › Action Quality Assessment Across Multiple Actions
Action Quality Assessment Across Multiple Actions
Paritosh Parmar, Brendan Tran Morris
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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Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Action Quality Assessment | AQA-7 | Single-Action C3D-SVR | Spearman Correlation | 69.37% | #7 of 9 | Archive leaderboard | report |
| Action Quality Assessment | AQA-7 | All-Action C3D-LSTM | Spearman Correlation | 64.78% | #8 of 9 | Archive leaderboard | report |
| Action Quality Assessment | AQA-7 | Single-Action C3D-LSTM | Spearman Correlation | 61.65% | #9 of 9 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
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