ParitoshParmar / MTL-AQA

What and How Well You Performed? A Multitask Learning Approach to Action Quality Assessment [CVPR 2019]

MTL-AQA

What and How Well You Performed? A Multitask Learning Approach to Action Quality Assessment

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MTL-AQA Concept:

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}
}

Check out our other relevant works:

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