Action Quality Assessment
35 papers with code • 8 benchmarks • 9 datasets
Assessing/analyzing/quantifying how well an action was performed.
Datasets
Most implemented papers
What and How Well You Performed? A Multitask Learning Approach to Action Quality Assessment
Can performance on the task of action quality assessment (AQA) be improved by exploiting a description of the action and its quality?
Auto-Encoding Score Distribution Regression for Action Quality Assessment
Traditionally, AQA is treated as a regression problem to learn the underlying mappings between videos and action scores.
Learning To Score Olympic Events
Estimating action quality, the process of assigning a "score" to the execution of an action, is crucial in areas such as sports and health care.
HalluciNet-ing Spatiotemporal Representations Using a 2D-CNN
The hallucination task is treated as an auxiliary task, which can be used with any other action related task in a multitask learning setting.
Hybrid Dynamic-static Context-aware Attention Network for Action Assessment in Long Videos
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.
TSA-Net: Tube Self-Attention Network for Action Quality Assessment
Specifically, we introduce a single object tracker into AQA and propose the Tube Self-Attention Module (TSA), which can efficiently generate rich spatio-temporal contextual information by adopting sparse feature interactions.
Hierarchical NeuroSymbolic Approach for Comprehensive and Explainable Action Quality Assessment
We found that domain experts prefer our system and find it more informative than purely neural approaches to AQA in diving.
LOGO: A Long-Form Video Dataset for Group Action Quality Assessment
Action quality assessment (AQA) has become an emerging topic since it can be extensively applied in numerous scenarios.
Action Quality Assessment Across Multiple Actions
Can learning to measure the quality of an action help in measuring the quality of other actions?
A Deep Learning Framework for Assessing Physical Rehabilitation Exercises
In this paper, we propose a deep learning-based framework for automated assessment of the quality of physical rehabilitation exercises.