ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2305.00817
  4. Cited By
Racial Bias within Face Recognition: A Survey

Racial Bias within Face Recognition: A Survey

1 May 2023
Seyma Yucer
Furkan Tektas
Noura Al Moubayed
T. Breckon
    FaML
ArXivPDFHTML

Papers citing "Racial Bias within Face Recognition: A Survey"

10 / 10 papers shown
Title
Component-Based Fairness in Face Attribute Classification with Bayesian Network-informed Meta Learning
Component-Based Fairness in Face Attribute Classification with Bayesian Network-informed Meta Learning
Yifan Liu
Ruichen Yao
Y. Liu
Ruohan Zong
Z. Li
Yang Zhang
Dong Wang
CVBM
42
0
0
03 May 2025
Disentangling Racial Phenotypes: Fine-Grained Control of Race-related
  Facial Phenotype Characteristics
Disentangling Racial Phenotypes: Fine-Grained Control of Race-related Facial Phenotype Characteristics
Seyma Yucer
Amir Atapour-Abarghouei
Noura Al Moubayed
T. Breckon
CVBM
26
1
0
29 Mar 2024
What's color got to do with it? Face recognition in grayscale
What's color got to do with it? Face recognition in grayscale
Aman Bhatta
Domingo Mery
Haiyu Wu
Joyce Annan
Micheal C. King
Kevin W. Bowyer
CVBM
32
3
0
11 Sep 2023
Are Commercial Face Detection Models as Biased as Academic Models?
Samuel Dooley
George Z. Wei
Tom Goldstein
John P. Dickerson
CVBM
19
4
0
25 Jan 2022
One Label, One Billion Faces: Usage and Consistency of Racial Categories
  in Computer Vision
One Label, One Billion Faces: Usage and Consistency of Racial Categories in Computer Vision
Zaid Khan
Y. Fu
141
51
0
03 Feb 2021
Improving the Fairness of Deep Generative Models without Retraining
Improving the Fairness of Deep Generative Models without Retraining
Shuhan Tan
Yujun Shen
Bolei Zhou
175
59
0
09 Dec 2020
Auditing ML Models for Individual Bias and Unfairness
Auditing ML Models for Individual Bias and Unfairness
Songkai Xue
Mikhail Yurochkin
Yuekai Sun
MLAU
32
22
0
11 Mar 2020
Demographic Bias in Biometrics: A Survey on an Emerging Challenge
Demographic Bias in Biometrics: A Survey on an Emerging Challenge
P. Drozdowski
Christian Rathgeb
A. Dantcheva
N. Damer
C. Busch
FaML
120
200
0
05 Mar 2020
Diversity and Inclusion Metrics in Subset Selection
Diversity and Inclusion Metrics in Subset Selection
Margaret Mitchell
Dylan K. Baker
Nyalleng Moorosi
Emily L. Denton
Ben Hutchinson
A. Hanna
Timnit Gebru
Jamie Morgenstern
FaML
145
85
0
09 Feb 2020
A Survey on Bias and Fairness in Machine Learning
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
294
4,187
0
23 Aug 2019
1