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Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Neural Networks
| Date | Stars |
|---|---|
| 2026-07-31 | 2861 |
| 2026-08-03 | 2861 |
| 2026-08-04 | 2861 |
| 2026-08-05 | 2861 |
| 2026-08-06 | 2861 |
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# MTCNN_face_detection_alignment
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 or https://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
### Other implementation
[C++ & caffe ](https://github.com/happynear/MTCNN_face_detection_alignment)<br>
[Python & mxnet](https://github.com/pangyupo/mxnet_mtcnn_face_detection)<br>
[Python & caffe](https://github.com/DuinoDu/mtcnn)<br>
[Python & Pytorch](https://modelscope.cn/models/damo/cv_manual_face-detection_mtcnn/summary)
### Face Recognition
Here we strongly recommend [Center Face](https://github.com/ydwen/caffe-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 Qiao
[email protected]<br>
Kaipeng Zhang
[email protected]
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matched fp:ae119b6b60821e78, name:alignment, desc:alignment