Coupled Deep Learning for Heterogeneous Face Recognition

@article{Wu2017CoupledDL,
  title={Coupled Deep Learning for Heterogeneous Face Recognition},
  author={Xiang Wu and Lingxiao Song and Ran He and Tieniu Tan},
  journal={ArXiv},
  year={2017},
  volume={abs/1704.02450}
}
Heterogeneous face matching is a challenge issue in face recognition due to large domain difference as well as insufficient pairwise images in different modalities during training. This paper proposes a coupled deep learning (CDL) approach for the heterogeneous face matching. CDL seeks a shared feature space in which the heterogeneous face matching problem can be approximately treated as a homogeneous facematchingproblem.TheobjectivefunctionofCDLmainly includes two parts. The first part contains… CONTINUE READING

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