Towards Large-scale Masked Face Recognition

Manyuan Zhang, Bingqi Ma, Guanglu Song, Yunxiao Wang, Hongsheng Li +1 more
10/25/2023
cs.CV

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Abstract

During the COVID-19 coronavirus epidemic, almost everyone is wearing masks, which poses a huge challenge for deep learning-based face recognition algorithms. In this paper, we will present our \textbf{championship} solutions in ICCV MFR WebFace260M and InsightFace unconstrained tracks. We will focus on four challenges in large-scale masked face recognition, i.e., super-large scale training, data noise handling, masked and non-masked face recognition accuracy balancing, and how to design inference-friendly model architecture. We hope that the discussion on these four aspects can guide future research towards more robust masked face recognition systems.

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Cite this paper

@article{zhang2023towards,
  title  = {Towards Large-scale Masked Face Recognition},
  author = {Manyuan Zhang and Bingqi Ma and Guanglu Song and Yunxiao Wang and Hongsheng Li and Yu Liu},
  year   = {2023},
  eprint = {2310.16364},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2310.16364v1}
}

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