CenterFace(size of 7.3MB) is a practical anchor-free face detection and alignment method for edge devices.

CenterFace

Introduce

CenterFace(size of 7.3MB) is a practical anchor-free face detection and alignment method for edge devices.

Recent Update

• 2019.09.13 CenterFace is released.

Environment

• OpenCV 4.1.0
• Numpy
• Python3.6+

Accuracy

• Results on val set of WIDER FACE:

• Results on test set of WIDER FACE:

• RetinaFace-mnet is short for RetinaFace-MobileNet-0.25 from excellent work insightface.
• LFFD-v1 is from prefect work LFFD.
• CenterFace/CenterFace-small evaluation is under MULTI-SCALE, FLIP.
• For SIO(Single Inference on the Original) evaluation schema, CenterFace also produces 92.2% (Easy), 91.1% (Medium) and 78.2% (Hard) for validation set.

• Results on FDDB:

Inference Latency

• Latency on NVIDIA RTX 2080TI:

Results: Face as Point

Discussion

Welcome to join in QQ Group(229042802) for more discussion, including but not limited to face detection, face anti-spoofing and so on.

Author

• ywlife
• SyGoing
• MirrorYuChen

Citation

If you benefit from our work in your research and product, please consider to cite the following related papers:

@inproceedings{CenterFace,
title={CenterFace: Joint Face Detection and Alignment Using Face as Point},
author={Xu, Yuanyuan and Yan, Wan and Sun, Haixin and Yang, Genke and Luo, Jiliang},
booktitle={arXiv:1911.03599},
year={2019}
}