CenterFace

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}
}