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
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.
If you find this work helpful in your research, please consider citing our paper:
@inproceedings{chen2023_DAA,
title = {DAA: A Delta Age AdaIN operation for age estimation via binary code transformer},
author = {Ping, Chen and Xingpeng, Zhang and Ye, Li and Ju, Tao and Bin, Xiao and Bing, Wang and Zongjie, Jiang},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2023}
}