README.md

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:

Model Version	Easy Set	Medium Set	Hard Set
FaceBoxes	0.840	0.766	0.395
FaceBoxes3.2×	0.798	0.802	0.715
RetinaFace-mnet	0.896	0.871	0.681
LFFD-v1	0.910	0.881	0.780
LFFD-v2	0.837	0.835	0.729
CenterFace	0.935	0.924	0.875
CenterFace-small	0.931	0.924	0.870

• Results on test set of WIDER FACE:

Model Version	Easy Set	Medium Set	Hard Set
FaceBoxes	0.839	0.763	0.396
FaceBoxes3.2×	0.791	0.794	0.715
RetinaFace-mnet	0.896	0.871	0.681
LFFD-v1	0.910	0.881	0.780
LFFD-v2	0.837	0.835	0.729
CenterFace	0.932	0.921	0.873

• 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:

Model Version	Disc ROC curves score
RetinaFace-mnet	96.0@1000
LFFD-v1	97.3@1000
LFFD-v2	97.2@1000
CenterFace	97.9@1000
CenterFace-small	98.1@1000

Inference Latency

• Latency on NVIDIA RTX 2080TI:

Resolution->	640×480	1280×720(704)	1920×1080(1056)
RetinaFace-mnet	5.40ms	6.31ms	10.26ms
LFFD-v1	7.24ms	14.58ms	28.36ms
CenterFace	5.5ms	6.4ms	8.7ms
CenterFace-small	4.4ms	5.7ms	7.3ms

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}
}