Robust-FEC-CNN Results of 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
...
image x_1 y_1 ... x_i y_i ... x_68 y_68
...
- CelebA [Google Drive] [Baidu Netdisk]
- CACD [Google Drive] [Baidu Netdisk]
- IMDB-WIKI [Google Drive] [Baidu Netdisk]
- FG-NET [Google Drive] [Baidu Netdisk]
- MORPH [Google Drive] [Baidu Netdisk]
- CASIA-WebFace [Google Drive] [Baidu Netdisk]
- LFW [Google Drive] [Baidu Netdisk]
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}
}