Evaluating Proposed Fairness Models for Face Recognition Algorithms-Reference-Cited by-同舟云学术

Evaluating Proposed Fairness Models for Face Recognition Algorithms

Published:2023 Issue: Volume: Page:431-447
ISSN:0302-9743
Container-title:Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges
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Author:

Howard John J.^ORCID,Laird Eli J.^ORCID,Rubin Rebecca E.^ORCID,Sirotin Yevgeniy B.^ORCID,Tipton Jerry L.,Vemury Arun R.

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-37660-3_31

Reference35 articles.

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4. Cook, C.M., Howard, J.J., Sirotin, Y.B., Tipton, J.L., Vemury, A.R.: Demographic effects in facial recognition and their dependence on image acquisition: an evaluation of eleven commercial systems. Trans. Biometrics Behav. Identity Sci. 1(1), 32–41 (2019)

5. Danks, D., London, A.J.: Algorithmic bias in autonomous systems. In: Proceedings of the 26th International Joint Conference on Artificial Intelligence, pp. 4691–4697. IJCAI 2017, AAAI Press (2017)

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