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Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Neural Networks
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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 orhttps://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 recommendCenter 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 Qiaoyu.qiao@siat.ac.cn
Kaipeng Zhangzhangkaipeng@pjlab.org.cn
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