VarGFaceNet
所属分类：界面编程
开发工具：Python
文件大小：564KB
下载次数：4
上传日期：2020-09-26 00:12:57
上 传 者：
Ethan_Carter
说明： 人脸识别算法，实现很高的精度，欢迎大家来围观
(Face recognition algorithm, to achieve high accuracy, welcome to watch)
文件列表:
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# VarGFaceNet
## License
The code of VarGFaceNet is released under the MIT License. There is no limitation for both acadmic and commercial usage.
## Introduction
This is a MXNET implementation of VarGFaceNet.
We achieved 1st place at Light-weight Face Recognition challenge/workshop on ICCV 2019(deepglint-light track)[LFR2019](https://ibug.doc.ic.ac.uk/resources/lightweight-face-recognition-challenge-workshop)
For details, please read the following papers:
* [VarGFaceNet: An Efficient Variable Group Convolutional Neural Network for Lightweight Face Recognition](https://arxiv.org/abs/1910.04***5)
* [VarGNet: Variable Group Convolutional Neural Network for Efficient Embedded Computing](https://arxiv.org/abs/1907.05653)
## Base Module
## Results
* train from scratch:
| Method | LFW(%) | CFP-FP(%) | AgeDB-30(%) | deepglint-light(%,TPR@FPR=1e-8) |
| ------- | ------- | --------- | ----------- | ------------------------------- |
| Ours | 0.99683 | 0.***086 | 0.***100 | 0.855 |
* recursive knowledge distillation:
| Method | LFW(%) | CFP-FP(%) | AgeDB-30(%) | deepglint-light(%,TPR@FPR=1e-8) |
| ----------- | ------- | --------- | ----------- | ------------------------------- |
| recursive=1 | 0.99783 | 0.***400 | 0.***067 | 0.88334 |
| recursive=2 | 0.9***33 | 0.***271 | 0.***050 | 0.88784 |
## Citation
If you find VarGFaceNet useful in your research, please consider to cite the following related papers:
```
@article{vargfacenet,
author = {Yan, Mengjia and Zhao, Mengao and Xu, Zining and Zhang, Qian and Wang, Guoli and Su, Zhizhong},
title = {VarGFaceNet: An Efficient Variable Group Convolutional Neural Network for Lightweight Face Recognition},
journal = {In Proceedings of the IEEE International Conference on Computer Vision Workshops},
year = 2019
}
@article{zhang2019vargnet,
title={VarGNet: Variable Group Convolutional Neural Network for Efficient Embedded Computing},
author={Zhang, Qian and Li, Jianjun and Yao, Meng and Song, Liangchen and Zhou, Helong and Li, Zhichao and Meng, Wenming and Zhang, Xuezhi and Wang, Guoli},
journal={arXiv preprint arXiv:1907.05653},
year={2019}
}
```
## Contact
```
[Mengao Zhao](mengao.zhao[at]gmail.com)
[Mengjia Yan](mengjyan[at]gmail.com)
```
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