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Pose-Robust Face Recognition via Deep Residual Equivariant Mapping
[article]
2018
arXiv
pre-print
Face recognition achieves exceptional success thanks to the emergence of deep learning. However, many contemporary face recognition models still perform relatively poor in processing profile faces compared to frontal faces. A key reason is that the number of frontal and profile training faces are highly imbalanced - there are extensively more frontal training samples compared to profile ones. In addition, it is intrinsically hard to learn a deep representation that is geometrically invariant to
arXiv:1803.00839v1
fatcat:kq2hsgsonbhqjcuadpvfnz6aie