This repository contains the code for our paper "DAA: A Delta Age AdaIN operation for age estimation via binary code transformer". The preprint version is public at arxiv

Code

Step1. Dataset generation, including training and testing samples and a csv file.
Step2. Configure config.py for corresponding training.
Step3. Please refer to the paper description to configure config.py, and then use train.py for training and testing.

Citation

If you find this work helpful in your research, please consider citing our paper:

@inproceedings{chen2023daa,
  title={DAA: A Delta Age AdaIN operation for age estimation via binary code transformer},
  author={Chen, Ping and Zhang, Xingpeng and Li, Ye and Tao, Ju and Xiao, Bin and Wang, Bing and Jiang, Zongjie},
  booktitle={Proceedings of the IEEE/CVF conference on computer vision and pattern recognition},
  pages={15836--15845},
  year={2023}
}