Deep Face Recognition: A Survey

@article{Wang2021DeepFR,
  title={Deep Face Recognition: A Survey},
  author={Mei Wang and Weihong Deng},
  journal={Neurocomputing},
  year={2021},
  volume={429},
  pages={215-244}
}
Driven by graphics processing units (GPUs), massive amounts of annotated data and more advanced algorithms, deep learning has recently taken the computer vision community by storm and has benefited real-world applications, including face recognition (FR. [...] Key Method First, we summarize the commonly used datasets for training and testing. Then, the data preprocessing methods are categorized into two classes: "one-to-many augmentation" and "many-to-one normalization".Expand
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