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.
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}
}