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Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Neural Networks

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kpzhang93/MTCNN_face_detection_alignment

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Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Neural Networks

Requirement

  1. Caffe: Linux OS:https://github.com/BVLC/caffe. Windows OS:https://github.com/BVLC/caffe/tree/windows orhttps://github.com/happynear/caffe-windows
  2. Pdollar toolbox:https://github.com/pdollar/toolbox
  3. Matlab 2014b or later
  4. Cuda (if use nvidia gpu)

Results

imageimage

Other implementation

C++ & caffe
Python & mxnet
Python & caffe
Python & Pytorch

Face Recognition

Here we strongly recommendCenter Face, which is an effective and efficient open-source tool for face recognition.

Citation

@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}}

License

This code is distributed under MIT LICENSE

Contact

Yu Qiaoyu.qiao@siat.ac.cn
Kaipeng Zhangzhangkaipeng@pjlab.org.cn

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Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Neural Networks

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