Surpassing Human-Level Face Verification Performance on LFW with GaussianFace

  title={Surpassing Human-Level Face Verification Performance on LFW with GaussianFace},
  author={Chaochao Lu and Xiaoou Tang},
Face verification remains a challenging problem in very complex conditions with large variations such as pose, illumination, expression, and occlusions. This problem is exacerbated when we rely unrealistically on a single training data source, which is often insufficient to cover the intrinsically complex face variations. This paper proposes a principled multi-task learning approach based on Discriminative Gaussian Process Latent Variable Model (DGPLVM), named GaussianFace, for face… CONTINUE READING
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