7 papers with code • 4 benchmarks • 4 datasets
Assessing/analyzing/quantifying how well an action was performed.
Can performance on the task of action quality assessment (AQA) be improved by exploiting a description of the action and its quality?
Ranked #1 on Action Quality Assessment on MTL-AQA
In this paper, we propose a deep learning-based framework for automated assessment of the quality of physical rehabilitation exercises.
Ranked #1 on Action Quality Assessment on UI-PRMD
However, most existing works focus only on video dynamic information (i. e., motion information) but ignore the specific postures that an athlete is performing in a video, which is important for action assessment in long videos.
The hallucination task is treated as an auxiliary task, which can be used with any other action related task in a multitask learning setting.
Ranked #1 on Scene Recognition on YUP++