What and How Well You Performed? A Multitask Learning Approach to Action Quality Assessment
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This repository contains MTL-AQA dataset + code introduced in the above paper. If you find this dataset or code useful, please consider citing:
@inproceedings{mtlaqa,
title={What and How Well You Performed? A Multitask Learning Approach to Action Quality Assessment},
author={Parmar, Paritosh and Tran Morris, Brendan},
booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
pages={304--313},
year={2019}
}
Fine-grained Exercise Action Quality Assessment: Self-Supervised Pose-Motion Contrastive Approaches for Fine-grained Action Quality Assessment (can be used for Diving as well!) + Fitness-AQA dataset