Analysis of Gender Inequality In Face Recognition Accuracy

@article{Albiero2020AnalysisOG,
  title={Analysis of Gender Inequality In Face Recognition Accuracy},
  author={V{\'i}tor Albiero and S. KrishnapriyaK. and K. Vangara and K. Zhang and Michael C. King and K. Bowyer},
  journal={2020 IEEE Winter Applications of Computer Vision Workshops (WACVW)},
  year={2020},
  pages={81-89}
}
We present a comprehensive analysis of how and why face recognition accuracy differs between men and women. We show that accuracy is lower for women due to the combination of(1) the impostor distribution for women having a skew toward higher similarity scores, and (2) the genuine distribution for women having a skew toward lower similarity scores. We show that this phenomenon of the impostor and genuine distributions for women shifting closer towards each other is general across datasets of… Expand
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