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. 1911.10692
  4. Cited By
Mitigate Bias in Face Recognition using Skewness-Aware Reinforcement
  Learning

Mitigate Bias in Face Recognition using Skewness-Aware Reinforcement Learning

25 November 2019
Mei Wang
Weihong Deng
    CVBM
ArXivPDFHTML

Papers citing "Mitigate Bias in Face Recognition using Skewness-Aware Reinforcement Learning"

50 / 54 papers shown
Title
Mitigating Bias in Facial Recognition Systems: Centroid Fairness Loss Optimization
Mitigating Bias in Facial Recognition Systems: Centroid Fairness Loss Optimization
Jean-Rémy Conti
Stéphan Clémençon
17
0
0
27 Apr 2025
Do Fairness Interventions Come at the Cost of Privacy: Evaluations for Binary Classifiers
Huan Tian
Guangsheng Zhang
Bo Liu
Tianqing Zhu
Ming Ding
Wanlei Zhou
53
0
0
08 Mar 2025
FRoundation: Are Foundation Models Ready for Face Recognition?
FRoundation: Are Foundation Models Ready for Face Recognition?
Tahar Chettaoui
Naser Damer
Fadi Boutros
CVBM
39
4
0
31 Oct 2024
Comprehensive Equity Index (CEI): Definition and Application to Bias
  Evaluation in Biometrics
Comprehensive Equity Index (CEI): Definition and Application to Bias Evaluation in Biometrics
Imanol Solano
Alejandro Peña
Aythami Morales
Julian Fierrez
Ruben Tolosana
F. Zamora-Martínez
Javier San Agustin
40
1
0
03 Sep 2024
Fairness in Reinforcement Learning: A Survey
Fairness in Reinforcement Learning: A Survey
Anka Reuel
Devin Ma
OffRL
FaML
40
4
0
11 May 2024
The Pursuit of Fairness in Artificial Intelligence Models: A Survey
The Pursuit of Fairness in Artificial Intelligence Models: A Survey
Tahsin Alamgir Kheya
Mohamed Reda Bouadjenek
Sunil Aryal
30
8
0
26 Mar 2024
Privacy-Preserving Face Recognition Using Trainable Feature Subtraction
Privacy-Preserving Face Recognition Using Trainable Feature Subtraction
Yuxi Mi
Zhizhou Zhong
Y. Huang
Jia-Bao Ji
Jianqing Xu
Jun Wang
Shaoming Wang
Shouhong Ding
Shuigeng Zhou
PICV
40
13
0
19 Mar 2024
ITI-GEN: Inclusive Text-to-Image Generation
ITI-GEN: Inclusive Text-to-Image Generation
Cheng Zhang
Xuanbai Chen
Siqi Chai
Chen Henry Wu
Dmitry Lagun
Thabo Beeler
Fernando de la Torre
VLM
32
52
0
11 Sep 2023
Privacy-Preserving Face Recognition Using Random Frequency Components
Privacy-Preserving Face Recognition Using Random Frequency Components
Yuxi Mi
Y. Huang
Jia-Bao Ji
Minyi Zhao
Jiaxiang Wu
Xingkun Xu
Shouhong Ding
Shuigeng Zhou
CVBM
PICV
20
13
0
21 Aug 2023
A Trip Towards Fairness: Bias and De-Biasing in Large Language Models
A Trip Towards Fairness: Bias and De-Biasing in Large Language Models
Leonardo Ranaldi
Elena Sofia Ruzzetti
Davide Venditti
Dario Onorati
Fabio Massimo Zanzotto
35
34
0
23 May 2023
Zero-shot racially balanced dataset generation using an existing biased
  StyleGAN2
Zero-shot racially balanced dataset generation using an existing biased StyleGAN2
Anubhav Jain
Nasir D. Memon
Julian Togelius
25
8
0
12 May 2023
Racial Bias within Face Recognition: A Survey
Racial Bias within Face Recognition: A Survey
Seyma Yucer
Furkan Tektas
Noura Al Moubayed
T. Breckon
FaML
38
10
0
01 May 2023
Measuring Bias in AI Models: An Statistical Approach Introducing N-Sigma
Measuring Bias in AI Models: An Statistical Approach Introducing N-Sigma
Daniel DeAlcala
Ignacio Serna
Aythami Morales
Julian Fierrez
J. Ortega-Garcia
24
6
0
26 Apr 2023
Fairness in Visual Clustering: A Novel Transformer Clustering Approach
Fairness in Visual Clustering: A Novel Transformer Clustering Approach
Xuan-Bac Nguyen
C. Duong
Marios Savvides
Kaushik Roy
Hugh Churchill
Khoa Luu
37
9
0
14 Apr 2023
Gradient Attention Balance Network: Mitigating Face Recognition Racial
  Bias via Gradient Attention
Gradient Attention Balance Network: Mitigating Face Recognition Racial Bias via Gradient Attention
Linzhi Huang
Mei Wang
Jiahao Liang
Weihong Deng
Hongzhi Shi
Dongchao Wen
Yingjie Zhang
Jian Zhao
CVBM
27
7
0
05 Apr 2023
Implicit Visual Bias Mitigation by Posterior Estimate Sharpening of a Bayesian Neural Network
Rebecca S Stone
Nishant Ravikumar
A. Bulpitt
David C. Hogg
BDL
36
0
0
29 Mar 2023
Fairness meets Cross-Domain Learning: a new perspective on Models and
  Metrics
Fairness meets Cross-Domain Learning: a new perspective on Models and Metrics
Leonardo Iurada
S. Bucci
Timothy M. Hospedales
Tatiana Tommasi
27
0
0
25 Mar 2023
Human-Centric Multimodal Machine Learning: Recent Advances and Testbed
  on AI-based Recruitment
Human-Centric Multimodal Machine Learning: Recent Advances and Testbed on AI-based Recruitment
Alejandro Peña
Ignacio Serna
Aythami Morales
Julian Fierrez
Alfonso Ortega
Ainhoa Herrarte
Manuel Alcántara
J. Ortega-Garcia
FaML
25
34
0
13 Feb 2023
Debiasing Vision-Language Models via Biased Prompts
Debiasing Vision-Language Models via Biased Prompts
Ching-Yao Chuang
Varun Jampani
Yuanzhen Li
Antonio Torralba
Stefanie Jegelka
VLM
30
96
0
31 Jan 2023
Fairly Private: Investigating The Fairness of Visual Privacy
  Preservation Algorithms
Fairly Private: Investigating The Fairness of Visual Privacy Preservation Algorithms
Sophie Noiret
Siddharth Ravi
M. Kampel
Francisco Flórez-Revuelta
PICV
6
1
0
12 Jan 2023
The Impact of Racial Distribution in Training Data on Face Recognition
  Bias: A Closer Look
The Impact of Racial Distribution in Training Data on Face Recognition Bias: A Closer Look
Manideep Kolla
Aravinth Savadamuthu
CVBM
32
11
0
26 Nov 2022
Generating 2D and 3D Master Faces for Dictionary Attacks with a
  Network-Assisted Latent Space Evolution
Generating 2D and 3D Master Faces for Dictionary Attacks with a Network-Assisted Latent Space Evolution
Tomer Friedlander
Ron Shmelkin
Lior Wolf
CVBM
8
1
0
25 Nov 2022
A Differentiable Distance Approximation for Fairer Image Classification
A Differentiable Distance Approximation for Fairer Image Classification
Nicholas Rosa
Tom Drummond
Mehrtash Harandi
18
0
0
09 Oct 2022
CAT: Controllable Attribute Translation for Fair Facial Attribute
  Classification
CAT: Controllable Attribute Translation for Fair Facial Attribute Classification
Jiazhi Li
Wael AbdAlmageed
CVBM
24
8
0
14 Sep 2022
Does lossy image compression affect racial bias within face recognition?
Does lossy image compression affect racial bias within face recognition?
Seyma Yucer
Matt Poyser
Noura Al Moubayed
T. Breckon
CVBM
40
4
0
16 Aug 2022
Deep face recognition with clustering based domain adaptation
Deep face recognition with clustering based domain adaptation
Mei Wang
Weihong Deng
OOD
3DH
CVBM
48
49
0
27 May 2022
Reinforced Pedestrian Attribute Recognition with Group Optimization
  Reward
Reinforced Pedestrian Attribute Recognition with Group Optimization Reward
Zhong Ji
Zhenfei Hu
Yaodong Wang
Shengjia Li
18
5
0
21 May 2022
Survey on Fair Reinforcement Learning: Theory and Practice
Survey on Fair Reinforcement Learning: Theory and Practice
Pratik Gajane
A. Saxena
M. Tavakol
George Fletcher
Mykola Pechenizkiy
FaML
OffRL
35
13
0
20 May 2022
On Demographic Bias in Fingerprint Recognition
On Demographic Bias in Fingerprint Recognition
Akash Godbole
Steven A. Grosz
Karthik Nandakumar
A.K. Jain
41
7
0
19 May 2022
VisCUIT: Visual Auditor for Bias in CNN Image Classifier
VisCUIT: Visual Auditor for Bias in CNN Image Classifier
Seongmin Lee
Zijie J. Wang
Judy Hoffman
Duen Horng Chau
24
11
0
12 Apr 2022
Local-Adaptive Face Recognition via Graph-based Meta-Clustering and
  Regularized Adaptation
Local-Adaptive Face Recognition via Graph-based Meta-Clustering and Regularized Adaptation
Wenbin Zhu
Chien-Yi Wang
Kuan-Lun Tseng
S. Lai
Baoyuan Wang
CVBM
6
9
0
27 Mar 2022
Improving Federated Learning Face Recognition via Privacy-Agnostic
  Clusters
Improving Federated Learning Face Recognition via Privacy-Agnostic Clusters
Qiang Meng
Feng Zhou
Hainan Ren
Tianshu Feng
Guochao Liu
Yuanqing Lin
FedML
33
38
0
29 Jan 2022
Anatomizing Bias in Facial Analysis
Anatomizing Bias in Facial Analysis
Richa Singh
P. Majumdar
S. Mittal
Mayank Vatsa
CVBM
33
23
0
13 Dec 2021
A hierarchical residual network with compact triplet-center loss for
  sketch recognition
A hierarchical residual network with compact triplet-center loss for sketch recognition
Lei Wang
Shihui Zhang
Huang He
Xiaoxia Zhang
Y. Sang
27
2
0
28 Sep 2021
Masked Face Recognition Challenge: The InsightFace Track Report
Masked Face Recognition Challenge: The InsightFace Track Report
Jiankang Deng
Jia Guo
Xiang An
Zheng Zhu
S. Zafeiriou
CVBM
27
87
0
18 Aug 2021
Unravelling the Effect of Image Distortions for Biased Prediction of
  Pre-trained Face Recognition Models
Unravelling the Effect of Image Distortions for Biased Prediction of Pre-trained Face Recognition Models
P. Majumdar
S. Mittal
Richa Singh
Mayank Vatsa
CVBM
43
19
0
14 Aug 2021
Learning Fair Face Representation With Progressive Cross Transformer
Learning Fair Face Representation With Progressive Cross Transformer
Yong Li
Yufei Sun
Zhen Cui
Shiguang Shan
Jian Yang
27
12
0
11 Aug 2021
Consistent Instance False Positive Improves Fairness in Face Recognition
Consistent Instance False Positive Improves Fairness in Face Recognition
Xingkun Xu
Yuge Huang
Pengcheng Shen
Shaoxin Li
Jilin Li
Feiyue Huang
Yong Li
Zhen Cui
11
57
0
10 Jun 2021
FairCal: Fairness Calibration for Face Verification
FairCal: Fairness Calibration for Face Verification
Tiago Salvador
Stephanie Cairns
Vikram S. Voleti
Noah Marshall
Adam M. Oberman
FaML
30
20
0
07 Jun 2021
Fair Feature Distillation for Visual Recognition
Fair Feature Distillation for Visual Recognition
S. Jung
Donggyu Lee
Taeeon Park
Taesup Moon
19
76
0
27 May 2021
Causal Learning for Socially Responsible AI
Causal Learning for Socially Responsible AI
Lu Cheng
Ahmadreza Mosallanezhad
Paras Sheth
Huan Liu
71
13
0
25 Apr 2021
Recent Advances in Deep Learning Techniques for Face Recognition
Recent Advances in Deep Learning Techniques for Face Recognition
Md. Tahmid Hasan Fuad
Awal Ahmed Fime
Delowar Sikder
Md. Akil Raihan Iftee
Jakaria Rabbi
Mabrook S. Al-Rakhami
Abdu H. Gumaei
Ovishake Sen
Mohtasim Fuad
Md. Nazrul Islam
34
63
0
18 Mar 2021
Balancing Biases and Preserving Privacy on Balanced Faces in the Wild
Balancing Biases and Preserving Privacy on Balanced Faces in the Wild
Joseph P. Robinson
Can Qin
Yann Henon
Samson Timoner
Y. Fu
32
25
0
16 Mar 2021
WebFace260M: A Benchmark Unveiling the Power of Million-Scale Deep Face
  Recognition
WebFace260M: A Benchmark Unveiling the Power of Million-Scale Deep Face Recognition
Zheng Zhu
Guan Huang
Jiankang Deng
Yun Ye
Junjie Huang
...
Jiagang Zhu
Tian Yang
Jiwen Lu
Dalong Du
Jie Zhou
CVBM
35
248
0
06 Mar 2021
A Comprehensive Study on Face Recognition Biases Beyond Demographics
A Comprehensive Study on Face Recognition Biases Beyond Demographics
Philipp Terhörst
J. Kolf
Marco Huber
Florian Kirchbuchner
Naser Damer
Aythami Morales
Julian Fierrez
Arjan Kuijper
29
115
0
02 Mar 2021
Technical Challenges for Training Fair Neural Networks
Technical Challenges for Training Fair Neural Networks
Valeriia Cherepanova
V. Nanda
Micah Goldblum
John P. Dickerson
Tom Goldstein
FaML
17
22
0
12 Feb 2021
Facial Expressions as a Vulnerability in Face Recognition
Facial Expressions as a Vulnerability in Face Recognition
Alejandro Peña
Ignacio Serna
Aythami Morales
Julian Fierrez
Àgata Lapedriza
CVBM
8
18
0
17 Nov 2020
Fairness in Biometrics: a figure of merit to assess biometric
  verification systems
Fairness in Biometrics: a figure of merit to assess biometric verification systems
Tiago de Freitas Pereira
S´ebastien Marcel
21
62
0
04 Nov 2020
The Elements of End-to-end Deep Face Recognition: A Survey of Recent
  Advances
The Elements of End-to-end Deep Face Recognition: A Survey of Recent Advances
Hang Du
Hailin Shi
Dan Zeng
Xiaoping Zhang
Tao Mei
OOD
33
118
0
28 Sep 2020
Investigating Bias and Fairness in Facial Expression Recognition
Investigating Bias and Fairness in Facial Expression Recognition
Tian Xu
J. White
Sinan Kalkan
Hatice Gunes
CVBM
12
158
0
20 Jul 2020
12
Next