Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Neural Networks
- Caffe: Linux OS: https://github.com/BVLC/caffe. Windows OS: https://github.com/BVLC/caffe/tree/windows or https://github.com/happynear/caffe-windows
- Pdollar toolbox: https://github.com/pdollar/toolbox
- Matlab 2014b or later
- Cuda (if use nvidia gpu)
C++ & caffe
Python & mxnet
Python & caffe
Python & Pytorch
Here we strongly recommend Center Face, which is an effective and efficient open-source tool for face recognition.
@article{7553523,
author={K. Zhang and Z. Zhang and Z. Li and Y. Qiao},
journal={IEEE Signal Processing Letters},
title={Joint Face Detection and Alignment Using Multitask Cascaded Convolutional Networks},
year={2016},
volume={23},
number={10},
pages={1499-1503},
keywords={Benchmark testing;Computer architecture;Convolution;Detectors;Face;Face detection;Training;Cascaded convolutional neural network (CNN);face alignment;face detection},
doi={10.1109/LSP.2016.2603342},
ISSN={1070-9908},
month={Oct}
}
@inproceedings{zhang2017detecting,
title={Detecting faces using inside cascaded contextual cnn},
author={Zhang, Kaipeng and Zhang, Zhanpeng and Wang, Hao and Li, Zhifeng and Qiao, Yu and Liu, Wei},
booktitle={Proceedings of the IEEE International Conference on Computer Vision},
pages={3171--3179},
year={2017}
}
This code is distributed under MIT LICENSE
Yu Qiao
yu.qiao@siat.ac.cn
Kaipeng Zhang
zhangkaipeng@pjlab.org.cn