Awesome
MTL-AQA
What and How Well You Performed? A Multitask Learning Approach to Action Quality Assessment
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MTL-AQA Concept:
<p align="center"> <img src="diving_sample.gif?raw=true" alt="diving_video" width="200"/> </p> <p align="center"> <img src="mtlaqa_concept.png?raw=true" alt="mtl_net" width="400"/> </p>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