What and How Well You Performed? A Multitask Learning Approach to Action Quality Assessment
April 2025 📢 📢 📢 We will be organizing Workshop on Skilled Activity Understanding, Assessment and Feedback Generation (SAUAFG) at ICCV 2025! More info on SAUAFG Website. Consider submitting your papers! See you in Honolulu, Hawaii!
What and How Well You Performed? A Multitask Learning Approach to Action Quality Assessment
If you want to train Pose Estimators and Object Detectors for AQA/Diving, we provide that data: here
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}}
Oct 2024: We have developed a new approach, NeuroSymbolic AQA, that builds upon this approach, but also analyses and scores using Professional Rules-based programs. It is Comprehensive and Explainable AQA which can generate Full Performance Reports for Actionable Insights!!! We encourage you to checkout [Code, Rules-based Programs, Dataset] [Demo] [Full Paper]
You are welcome to continue using this project, as it will still be maintained alongside the new approach!
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
Want to know the score of a Dive at the ongoing Olympics, even before the judges’ decision? Try out our AI Olympics Judge