FairFace Challenge at ECCV 2020: Analyzing Bias in Face Recognition-Reference-Cited by-同舟云学术

FairFace Challenge at ECCV 2020: Analyzing Bias in Face Recognition

Published:2020 Issue: Volume: Page:463-481
ISSN:0302-9743
Container-title:Computer Vision – ECCV 2020 Workshops
language:
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Author:

Sixta Tomáš,Jacques Junior Julio C. S.,Buch-Cardona Pau,Vazquez Eduard,Escalera Sergio

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-65414-6_32

Reference70 articles.

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3. Albiero, V., Krishnapriya, K.S., Vangara, K., Zhang, K., King, M.C., Bowyer, K.W.: Analysis of gender inequality in face recognition accuracy. CoRR abs/2002.00065 (2020)

4. Alvi, M.S., Zisserman, A., Nellåker, C.: Turning a blind eye: explicit removal of biases and variation from deep neural network embeddings. CoRR abs/1809.02169 (2018)

5. Snow, J.: Amazon’s Face Recognition Falsely Matched 28 Members of Congress With Mugshots. American Civil Liberties Union, July 2018. https://www.aclu.org/blog/privacy-technology/surveillance-technologies/amazons-face-recognition-falsely-matched-28. Accessed 5 Aug 2020

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