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pro vyhledávání: '"Face-Recognition Algorithms"'
Akademický článek
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Autor:
Howard, John J., Laird, Eli J., Sirotin, Yevgeniy B., Rubin, Rebecca E., Tipton, Jerry L., Vemury, Arun R.
The development of face recognition algorithms by academic and commercial organizations is growing rapidly due to the onset of deep learning and the widespread availability of training data. Though tests of face recognition algorithm performance indi
Externí odkaz:
http://arxiv.org/abs/2203.05051
Publikováno v:
In Procedia Computer Science 2023 230:486-492
Human face features can be used to determine individual identity as well as demographic information like gender and race. However, the extent to which black-box commercial face recognition algorithms (CFRAs) use gender and race features to determine
Externí odkaz:
http://arxiv.org/abs/2010.07979
Face recognition algorithms have demonstrated very high recognition performance, suggesting suitability for real world applications. Despite the enhanced accuracies, robustness of these algorithms against attacks and bias has been challenged. This pa
Externí odkaz:
http://arxiv.org/abs/2002.02942
Previous generations of face recognition algorithms differ in accuracy for images of different races (race bias). Here, we present the possible underlying factors (data-driven and scenario modeling) and methodological considerations for assessing rac
Externí odkaz:
http://arxiv.org/abs/1912.07398
Autor:
Nguyen, Truong Van1 nguyenvantruong@haui.edu.vn, Chu, Tuan Duc1
Publikováno v:
EUREKA: Physics & Engineering. 2023, Issue 4, p120-132. 13p.
Autor:
Phillips, P. Jonathon, Yates, Amy N., Hu, Ying, Hahn, Carina A., Noyes, Eilidh, Jackson, Kelsey, Cavazos, Jacqueline G., Jeckeln, Géraldine, Ranjan, Rajeev, Sankaranarayanan, Swami, Chen, Jun-Cheng, Castillo, Carlos D., Chellappa, Rama, White, David, O’Toole, Alice J.
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America, 2018 Jun 01. 115(24), 6171-6176.
Externí odkaz:
https://www.jstor.org/stable/26510102
Akademický článek
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Autor:
RichardWebster, Brandon, Kwon, So Yon, Clarizio, Christopher, Anthony, Samuel E., Scheirer, Walter J.
Scientific fields that are interested in faces have developed their own sets of concepts and procedures for understanding how a target model system (be it a person or algorithm) perceives a face under varying conditions. In computer vision, this has
Externí odkaz:
http://arxiv.org/abs/1803.07140