Rethinking the Data Annotation Process for Multi-view 3D Pose Estimation with Active Learning and Self-Training

Official implementation of the WACV 2023 paper.

@inproceedings{feng2023rethinking,
  title={Rethinking the Data Annotation Process for Multi-View 3D Pose Estimation With Active Learning and Self-Training},
  author={Feng, Qi and He, Kun and Wen, He and Keskin, Cem and Ye, Yuting},
  booktitle={Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision},
  pages={5695--5704},
  year={2023}
}

LICENSE

The majority of this project is licensed under CC-BY-NC, however portions of the project are available under separate license terms: https://github.com/HRNet/HRNet-Human-Pose-Estimation; https://github.com/microsoft/human-pose-estimation.pytorch; and https://github.com/karfly/learnable-triangulation-pytorch are licensed under the MIT license.