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arXiv · 2310.16364

Towards Large-scale Masked Face Recognition

Manyuan Zhang·Bingqi Ma·Guanglu Song·Yunxiao Wang·Hongsheng Li·Yu Liu
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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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Manyuan Zhang, Bingqi Ma, Guanglu Song, Yunxiao Wang, Hongsheng Li, Yu Liu. 2023-10-25. Towards Large-scale Masked Face Recognition. https://arxiv.org/abs/2310.16364

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