Robust FEC-CNN for Face Datasets
Robust FEC-CNN: A High Accuracy Facial Landmark Detection System \
Zhenliang He1,2, Jie Zhang1,2, Meina Kan1,3, Shiguang Shan1,3, Xilin Chen1A Fully End-to-End Cascaded CNN for Facial Landmark Detection \
Zhenliang He1,2, Meina Kan1,3, Jie Zhang1,2, Xilin Chen1, Shiguang Shan1,31Key Lab of Intelligent Information Processing, Institute of Computing Technology, CAS, China \
2University of Chinese Academy of Sciences, China \
3CAS Center for Excellence in Brain Science and Intelligence Technology, China
This repository provides facial landmark detection results of several face datasets by the technique of Robust-FEC-CNN (Won 2nd of CVPR 2017 Faces “In-The-Wild” Workshop-Challenge). These landmarks can be used for aligning faces of these datasets (use align.py).
bbox.txt
...
image x_min y_min x_max y_max
...
landmark.txt
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image x_1 y_1 ... x_i y_i ... x_68 y_68
...
If you find the results of Robust-FEC-CNN useful in your research work, please consider citing:
@InProceedings{he2017robust,
author = {He, Zhenliang and Zhang, Jie and Kan, Meina and Shan, Shiguang and Chen, Xilin},
title = {Robust FEC-CNN: A High Accuracy Facial Landmark Detection System},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
year = {2017}
}
@InProceedings{he2017fully,
author={He, Zhenliang and Kan, Meina and Zhang, Jie and Chen, Xilin and Shan, Shiguang},
title={A Fully End-to-end Cascaded CNN for Facial Landmark Detection},
booktitle={The IEEE International Conference on Automatic Face \& Gesture Recognition (FG)},
year={2017}
}