Robust-FEC-CNN Results of Face Datasets

Robust FEC-CNN: A High Accuracy Facial Landmark Detection System \
Zhenliang He^1,2, Jie Zhang^1,2, Meina Kan^1,3, Shiguang Shan^1,3, Xilin Chen¹

A Fully End-to-End Cascaded CNN for Facial Landmark Detection \
Zhenliang He^1,2, Meina Kan^1,3, Jie Zhang^1,2, Xilin Chen¹, Shiguang Shan^1,3

¹Key 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).

Format

bbox.txt
```
...
image x_min y_min x_max y_max
...
```

landmark.txt

...
image x_1 y_1 ... x_i y_i ... x_68 y_68
...

Landmarks File of Face Datasets

Citation

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}
}

Robust-FEC-CNN Results of Face Datasets

Format

Landmarks File of Face Datasets

Attribute

Age

Identity

Citation