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Delta_Age_AdaIN

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DAA: A Delta Age AdaIN operation for age estimation via binary code transformer (CVPR2023)

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# DAA: A Delta Age AdaIN operation for age estimation via binary code transformer (CVPR2023)
![license](https://img.shields.io/badge/License-MIT-brightgreen)
![python](https://img.shields.io/badge/Python-3.8-blue)
![pytorch](https://img.shields.io/badge/PyTorch-1.9-orange)

This repository contains the code for our paper "DAA: A Delta Age AdaIN operation for age estimation via binary code transformer".
![image](https://user-images.githubusercontent.com/18466019/226555205-90e59399-4a8a-43cf-976f-61faceaac744.png)
The preprint version is public at [arxiv](https://arxiv.org/abs/2303.07929)

# 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}
}
```

Delta_Age_AdaIN

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