FaceNet: A unified embedding for face recognition and clustering

@article{Schroff2015FaceNetAU,
  title={FaceNet: A unified embedding for face recognition and clustering},
  author={Florian Schroff and Dmitry Kalenichenko and James Philbin},
  journal={2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2015},
  pages={815-823}
}
Despite significant recent advances in the field of face recognition [10, 14, 15, 17], implementing face verification and recognition efficiently at scale presents serious challenges to current approaches. [...] Key Method Our method uses a deep convolutional network trained to directly optimize the embedding itself, rather than an intermediate bottleneck layer as in previous deep learning approaches.Expand
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