mlsanityData to 7 Oct 2026

A Survey of Face Recognition

arXiv 2212.13038 ↗First posted 26 Dec 2022cs.CVcited by 1

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Abstract (arXiv)

Recent years witnessed the breakthrough of face recognition with deep convolutional neural networks. Dozens of papers in the field of FR are published every year. Some of them were applied in the industrial community and played an important role in human life such as device unlock, mobile payment, and so on. This paper provides an introduction to face recognition, including its history, pipeline, algorithms based on conventional manually designed features or deep learning, mainstream training, evaluation datasets, and related applications. We have analyzed and compared state-of-the-art works as many as possible, and also carefully designed a set of experiments to find the effect of backbone size and data distribution. This survey is a material of the tutorial named The Practical Face Recognition Technology in the Industrial World in the FG2023.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 117 of its 213 references that are in the map. First posted on arXiv 26 Dec 2022.

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117 of 213 references.

References · 117

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38 more
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Citing papers per year: 2024: 1.

1 paper.

  1. 2024CLIP Unreasonable Potential in Single-Shot Face Recognitioncited by 1