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KappaFace: Adaptive Additive Angular Margin Loss for Deep Face Recognition. (arXiv:2201.07394v1 [cs.CV])
Jan. 20, 2022, 2:10 a.m. | Chingis Oinar, Binh M. Le, Simon S. Woo
cs.CV updates on arXiv.org arxiv.org
Feature learning is a widely used method employed for large-scale face
recognition. Recently, large-margin softmax loss methods have demonstrated
significant enhancements on deep face recognition. These methods propose fixed
positive margins in order to enforce intra-class compactness and inter-class
diversity. However, the majority of the proposed methods do not consider the
class imbalance issue, which is a major challenge in practice for developing
deep face recognition models. We hypothesize that it significantly affects the
generalization ability of the deep face …
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