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Update README.md (#276)
adding paper source & citation Co-authored-by: Yuantao Feng <[email protected]>
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models/face_detection_yunet/README.md

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- For details on training this model, please visit https://github.com/ShiqiYu/libfacedetection.train.
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- This ONNX model has fixed input shape, but OpenCV DNN infers on the exact shape of input image. See https://github.com/opencv/opencv_zoo/issues/44 for more information.
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- `face_detection_yunet_2023mar_int8bq.onnx` represents the block-quantized version in int8 precision and is generated using [block_quantize.py](../../tools/quantize/block_quantize.py) with `block_size=64`.
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- Paper source: [Yunet: A tiny millisecond-level face detector](https://link.springer.com/article/10.1007/s11633-023-1423-y).
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Results of accuracy evaluation with [tools/eval](../../tools/eval).
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- https://github.com/ShiqiYu/libfacedetection
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- https://github.com/ShiqiYu/libfacedetection.train
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## Citation
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If you use `YuNet` in your work, please use the following BibTeX entries:
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```
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@article{wu2023yunet,
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title={Yunet: A tiny millisecond-level face detector},
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author={Wu, Wei and Peng, Hanyang and Yu, Shiqi},
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journal={Machine Intelligence Research},
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volume={20},
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number={5},
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pages={656--665},
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year={2023},
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publisher={Springer}
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}
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```

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