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. 1911.11834
  4. Cited By
Towards Fairness in Visual Recognition: Effective Strategies for Bias
  Mitigation

Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation

26 November 2019
Zeyu Wang
Klint Qinami
Yannis Karakozis
Kyle Genova
P. Nair
Kenji Hata
Olga Russakovsky
ArXivPDFHTML

Papers citing "Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation"

50 / 73 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
Zehan Li
Yang Zhang
Dong Wang
CVBM
61
0
0
03 May 2025
Attention IoU: Examining Biases in CelebA using Attention Maps
Attention IoU: Examining Biases in CelebA using Attention Maps
Aaron Serianni
Tyler Zhu
Olga Russakovsky
V. V. Ramaswamy
45
0
0
25 Mar 2025
Project-Probe-Aggregate: Efficient Fine-Tuning for Group Robustness
Project-Probe-Aggregate: Efficient Fine-Tuning for Group Robustness
B. Zhu
Jiequan Cui
Haiqi Zhang
Chi Zhang
85
0
0
12 Mar 2025
Detecting Systematic Weaknesses in Vision Models along Predefined Human-Understandable Dimensions
Detecting Systematic Weaknesses in Vision Models along Predefined Human-Understandable Dimensions
Sujan Sai Gannamaneni
Rohil Prakash Rao
Michael Mock
Maram Akila
Stefan Wrobel
AAML
171
0
0
17 Feb 2025
Impact of Data Distribution on Fairness Guarantees in Equitable Deep Learning
Impact of Data Distribution on Fairness Guarantees in Equitable Deep Learning
Yan Luo
Congcong Wen
Min Shi
Hao Huang
Yi Fang
Mengyu Wang
FedML
26
0
0
31 Dec 2024
Rethinking Fair Representation Learning for Performance-Sensitive Tasks
Rethinking Fair Representation Learning for Performance-Sensitive Tasks
Charles Jones
Fabio De Sousa Ribeiro
Mélanie Roschewitz
Daniel Coelho De Castro
Ben Glocker
FaML
OOD
CML
146
1
0
05 Oct 2024
On Biases in a UK Biobank-based Retinal Image Classification Model
On Biases in a UK Biobank-based Retinal Image Classification Model
A. Alloula
Rima Mustafa
Daniel R. McGowan
Bartlomiej W. Papie.z
45
1
0
30 Jul 2024
Language-guided Detection and Mitigation of Unknown Dataset Bias
Language-guided Detection and Mitigation of Unknown Dataset Bias
Zaiying Zhao
Soichiro Kumano
Toshihiko Yamasaki
46
2
0
05 Jun 2024
Resource-constrained Fairness
Resource-constrained Fairness
Sofie Goethals
Eoin Delaney
Brent Mittelstadt
Christopher Russell
FaML
86
1
0
03 Jun 2024
A Decade's Battle on Dataset Bias: Are We There Yet?
A Decade's Battle on Dataset Bias: Are We There Yet?
Zhuang Liu
Kaiming He
42
28
0
13 Mar 2024
Geospatial Disparities: A Case Study on Real Estate Prices in Paris
Geospatial Disparities: A Case Study on Real Estate Prices in Paris
Agathe Fernandes Machado
Franccois Hu
Philipp Ratz
E. Gallic
Arthur Charpentier
35
1
0
29 Jan 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
35
52
0
11 Sep 2023
Fairness Explainability using Optimal Transport with Applications in
  Image Classification
Fairness Explainability using Optimal Transport with Applications in Image Classification
Philipp Ratz
Franccois Hu
Arthur Charpentier
23
0
0
22 Aug 2023
Elucidate Gender Fairness in Singing Voice Transcription
Elucidate Gender Fairness in Singing Voice Transcription
Xiangming Gu
Weizhen Zeng
Ye Wang
25
3
0
05 Aug 2023
No Fair Lunch: A Causal Perspective on Dataset Bias in Machine Learning
  for Medical Imaging
No Fair Lunch: A Causal Perspective on Dataset Bias in Machine Learning for Medical Imaging
Charles Jones
Daniel Coelho De Castro
Fabio De Sousa Ribeiro
Ozan Oktay
Melissa McCradden
Ben Glocker
FaML
CML
49
9
0
31 Jul 2023
PaLI-X: On Scaling up a Multilingual Vision and Language Model
PaLI-X: On Scaling up a Multilingual Vision and Language Model
Xi Chen
Josip Djolonga
Piotr Padlewski
Basil Mustafa
Soravit Changpinyo
...
Mojtaba Seyedhosseini
A. Angelova
Xiaohua Zhai
N. Houlsby
Radu Soricut
VLM
68
189
0
29 May 2023
Consensus and Subjectivity of Skin Tone Annotation for ML Fairness
Consensus and Subjectivity of Skin Tone Annotation for ML Fairness
Candice Schumann
Gbolahan O. Olanubi
Auriel Wright
Ellis P. Monk
Courtney Heldreth
Susanna Ricco
30
21
0
16 May 2023
MadEye: Boosting Live Video Analytics Accuracy with Adaptive Camera
  Configurations
MadEye: Boosting Live Video Analytics Accuracy with Adaptive Camera Configurations
M. Wong
M. Ramanujam
Guha Balakrishnan
Ravi Netravali
34
4
0
04 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
Bias mitigation techniques in image classification: fair machine
  learning in human heritage collections
Bias mitigation techniques in image classification: fair machine learning in human heritage collections
Dalia Ortiz Pablo
Sushruth Badri
Erik Norén
Christoph Nötzli
33
1
0
20 Mar 2023
Backdoor for Debias: Mitigating Model Bias with Backdoor Attack-based
  Artificial Bias
Backdoor for Debias: Mitigating Model Bias with Backdoor Attack-based Artificial Bias
Shangxi Wu
Qiuyang He
Jitao Sang
Jitao Sang
28
1
0
01 Mar 2023
UnbiasedNets: A Dataset Diversification Framework for Robustness Bias
  Alleviation in Neural Networks
UnbiasedNets: A Dataset Diversification Framework for Robustness Bias Alleviation in Neural Networks
Mahum Naseer
B. Prabakaran
Osman Hasan
Muhammad Shafique
24
7
0
24 Feb 2023
Delving into Identify-Emphasize Paradigm for Combating Unknown Bias
Delving into Identify-Emphasize Paradigm for Combating Unknown Bias
Bowen Zhao
Chen Chen
Qian-Wei Wang
Anfeng He
Shutao Xia
39
1
0
22 Feb 2023
Scaling Vision Transformers to 22 Billion Parameters
Scaling Vision Transformers to 22 Billion Parameters
Mostafa Dehghani
Josip Djolonga
Basil Mustafa
Piotr Padlewski
Jonathan Heek
...
Mario Luvcić
Xiaohua Zhai
Daniel Keysers
Jeremiah Harmsen
N. Houlsby
MLLM
63
572
0
10 Feb 2023
Linking convolutional kernel size to generalization bias in face
  analysis CNNs
Linking convolutional kernel size to generalization bias in face analysis CNNs
Hao Liang
J. O. Caro
Vikram Maheshri
Ankit B. Patel
Guha Balakrishnan
CVBM
CML
15
0
0
07 Feb 2023
Hyper-parameter Tuning for Fair Classification without Sensitive
  Attribute Access
Hyper-parameter Tuning for Fair Classification without Sensitive Attribute Access
A. Veldanda
Ivan Brugere
Sanghamitra Dutta
Alan Mishler
S. Garg
39
5
0
02 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
97
0
31 Jan 2023
A Whac-A-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One
  Amplifies Others
A Whac-A-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies Others
Zhiheng Li
Ivan Evtimov
Albert Gordo
C. Hazirbas
Tal Hassner
Cristian Canton Ferrer
Chenliang Xu
Mark Ibrahim
34
71
0
09 Dec 2022
Casual Conversations v2: Designing a large consent-driven dataset to
  measure algorithmic bias and robustness
Casual Conversations v2: Designing a large consent-driven dataset to measure algorithmic bias and robustness
C. Hazirbas
Yejin Bang
Tiezheng Yu
Parisa Assar
Bilal Porgali
...
Jacqueline Pan
Emily McReynolds
Miranda Bogen
Pascale Fung
Cristian Canton Ferrer
29
8
0
10 Nov 2022
Generalization and Personalization of Mobile Sensing-Based Mood
  Inference Models: An Analysis of College Students in Eight Countries
Generalization and Personalization of Mobile Sensing-Based Mood Inference Models: An Analysis of College Students in Eight Countries
L. Meegahapola
William Droz
Peter Kun
A. D. Gotzen
Chaitanya Nutakki
...
Ronald Chenu-Abente
Can Gunel
Fausto Giunchiglia
Laura Schelenz
D. Gática-Pérez
36
35
0
06 Nov 2022
Fair Visual Recognition via Intervention with Proxy Features
Fair Visual Recognition via Intervention with Proxy Features
Yi Zhang
Jitao Sang
Junyan Wang
23
1
0
02 Nov 2022
Men Also Do Laundry: Multi-Attribute Bias Amplification
Men Also Do Laundry: Multi-Attribute Bias Amplification
Dora Zhao
Jerone T. A. Andrews
Alice Xiang
FaML
43
21
0
21 Oct 2022
Training Debiased Subnetworks with Contrastive Weight Pruning
Training Debiased Subnetworks with Contrastive Weight Pruning
Geon Yeong Park
Sangmin Lee
Sang Wan Lee
Jong Chul Ye
CML
35
13
0
11 Oct 2022
A Differentiable Distance Approximation for Fairer Image Classification
A Differentiable Distance Approximation for Fairer Image Classification
Nicholas Rosa
Tom Drummond
Mehrtash Harandi
21
0
0
09 Oct 2022
Entropy-driven Unsupervised Keypoint Representation Learning in Videos
Entropy-driven Unsupervised Keypoint Representation Learning in Videos
A. Younes
Simone Schaub-Meyer
Georgia Chalvatzaki
SSL
33
0
0
30 Sep 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
FairDisCo: Fairer AI in Dermatology via Disentanglement Contrastive
  Learning
FairDisCo: Fairer AI in Dermatology via Disentanglement Contrastive Learning
Siyi Du
Ben Hers
Nourhan Bayasi
Ghassan Hamarneh
Rafeef Garbi
27
22
0
22 Aug 2022
FairGRAPE: Fairness-aware GRAdient Pruning mEthod for Face Attribute
  Classification
FairGRAPE: Fairness-aware GRAdient Pruning mEthod for Face Attribute Classification
Xiao-Ze Lin
Seungbae Kim
Jungseock Joo
CVBM
37
38
0
22 Jul 2022
Chairs Can be Stood on: Overcoming Object Bias in Human-Object
  Interaction Detection
Chairs Can be Stood on: Overcoming Object Bias in Human-Object Interaction Detection
Guangzhi Wang
Yangyang Guo
Yongkang Wong
Mohan S. Kankanhalli
31
10
0
06 Jul 2022
Beyond Impossibility: Balancing Sufficiency, Separation and Accuracy
Beyond Impossibility: Balancing Sufficiency, Separation and Accuracy
Limor Gultchin
Vincent Cohen-Addad
Sophie Giffard-Roisin
Varun Kanade
Frederik Mallmann-Trenn
29
4
0
24 May 2022
Unsupervised Learning of Unbiased Visual Representations
Unsupervised Learning of Unbiased Visual Representations
C. Barbano
Enzo Tartaglione
Marco Grangetto
SSL
CML
OOD
30
1
0
26 Apr 2022
Quantifying Societal Bias Amplification in Image Captioning
Quantifying Societal Bias Amplification in Image Captioning
Yusuke Hirota
Yuta Nakashima
Noa Garcia
19
48
0
29 Mar 2022
Spatially Multi-conditional Image Generation
Spatially Multi-conditional Image Generation
Ritika Chakraborty
Nikola Popovic
D. Paudel
Thomas Probst
Luc Van Gool
24
1
0
25 Mar 2022
Is Fairness Only Metric Deep? Evaluating and Addressing Subgroup Gaps in
  Deep Metric Learning
Is Fairness Only Metric Deep? Evaluating and Addressing Subgroup Gaps in Deep Metric Learning
Natalie Dullerud
Karsten Roth
Kimia Hamidieh
Nicolas Papernot
Marzyeh Ghassemi
30
15
0
23 Mar 2022
FairPrune: Achieving Fairness Through Pruning for Dermatological Disease
  Diagnosis
FairPrune: Achieving Fairness Through Pruning for Dermatological Disease Diagnosis
Yawen Wu
Dewen Zeng
Xiaowei Xu
Yiyu Shi
Jingtong Hu
MedIm
29
50
0
04 Mar 2022
Efficient Attribute Unlearning: Towards Selective Removal of Input
  Attributes from Feature Representations
Efficient Attribute Unlearning: Towards Selective Removal of Input Attributes from Feature Representations
Tao Guo
Song Guo
Jiewei Zhang
Wenchao Xu
Junxiao Wang
MU
27
17
0
27 Feb 2022
Bayes-Optimal Classifiers under Group Fairness
Bayes-Optimal Classifiers under Group Fairness
Xianli Zeng
Yan Sun
Guang Cheng
FaML
21
22
0
20 Feb 2022
Vision Checklist: Towards Testable Error Analysis of Image Models to
  Help System Designers Interrogate Model Capabilities
Vision Checklist: Towards Testable Error Analysis of Image Models to Help System Designers Interrogate Model Capabilities
Xin Du
Bénédicte Legastelois
B. Ganesh
A. Rajan
Hana Chockler
Vaishak Belle
Stuart Anderson
S. Ramamoorthy
AAML
27
6
0
27 Jan 2022
Handling Bias in Toxic Speech Detection: A Survey
Handling Bias in Toxic Speech Detection: A Survey
Tanmay Garg
Sarah Masud
Tharun Suresh
Tanmoy Chakraborty
17
91
0
26 Jan 2022
12
Next