Demographic Variation in the Performance of Biometric Systems
Analysis of Gender Inequality In Face Recognition Accuracy-
[pdf]
[bibtex]@InProceedings{Albiero_2020_WACV_Workshops,
author = {Albiero, Vitor and K.S., Krishnapriya and Vangara, Kushal and Zhang, Kai and King, Michael C. and Bowyer, Kevin W.},
title = {Analysis of Gender Inequality In Face Recognition Accuracy},
booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Workshops},
month = {March},
year = {2020}
}
Mitigating Algorithmic Bias: Evolving an Augmentation Policy that is Non-Biasing-
[pdf]
[bibtex]@InProceedings{Smith_2020_WACV_Workshops,
author = {Smith, Philip and Ricanek, Karl},
title = {Mitigating Algorithmic Bias: Evolving an Augmentation Policy that is Non-Biasing},
booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Workshops},
month = {March},
year = {2020}
}
Reducing Geographic Performance Differentials for Face Recognition-
[pdf]
[bibtex]@InProceedings{Bruveris_2020_WACV_Workshops,
author = {Bruveris, Martins and Gietema, Jochem and Mortazavian, Pouria and Mahadevan, Mohan},
title = {Reducing Geographic Performance Differentials for Face Recognition},
booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Workshops},
month = {March},
year = {2020}
}