/EmotiNet_Challenge

3rd Place Solution for EmotiNet Challenge CVPR2020

Primary LanguagePython

EmotiNet_Challenge

3rd Place Solution for EmotiNet Challenge CVPR2020

This is the PyTorch implementation of the paper [Multiple Transfer Learning and Multi label Balanced Training Strategies for Facial AU Detection In the Wild][https://openaccess.thecvf.com/content_CVPRW_2020/papers/w29/Ji_Multiple_Transfer_Learning_and_Multi-Label_Balanced_Training_Strategies_for_Facial_CVPRW_2020_paper.pdf]. If you feel this repo helpful, please cite our paper:

@inproceedings{ji2020multiple,
  title={Multiple transfer learning and multi-label balanced training strategies for facial au detection in the wild},
  author={Ji, Sijie and Wang, Kai and Peng, Xiaojiang and Yang, Jianfei and Zeng, Zhaoyang and Qiao, Yu},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  pages={414--415},
  year={2020}
}