Fairness and Bias Mitigation in Computer Vision: A Survey

Fairness and Bias Mitigation in Computer Vision: A Survey

5 August 2024

Sepehr Dehdashtian

Ruozhen He

Guha Balakrishnan

Nuno Vasconcelos

Vicente Ordonez

Vishnu Naresh Boddeti

Papers citing "Fairness and Bias Mitigation in Computer Vision: A Survey"

19 / 19 papers shown

Title
Building Trustworthy Multimodal AI: A Review of Fairness, Transparency, and Ethics in Vision-Language Tasks Mohammad Saleha Azadeh Tabatabaeib 49 0 0 14 Apr 2025
Bias Assessment and Data Drift Detection in Medical Image Analysis: A Survey Andrea Prenner Bernhard Kainz 26 0 0 26 Sep 2024
Counterfactually Fair Representation Zhiqun Zuo Mohammad Mahdi Khalili Xueru Zhang FaML 26 5 0 09 Nov 2023
Variation of Gender Biases in Visual Recognition Models Before and After Finetuning Jaspreet Ranjit Tianlu Wang Baishakhi Ray Vicente Ordonez 23 2 0 14 Mar 2023
Training Debiased Subnetworks with Contrastive Weight Pruning Geon Yeong Park Sangmin Lee Sang Wan Lee Jong Chul Ye CML 22 13 0 11 Oct 2022
Bias Mimicking: A Simple Sampling Approach for Bias Mitigation Maan Qraitem Kate Saenko Bryan A. Plummer 43 33 0 30 Sep 2022
Fairness Reprogramming Guanhua Zhang Yihua Zhang Yang Zhang Wenqi Fan Qing Li Sijia Liu Shiyu Chang AAML 75 38 0 21 Sep 2022
Studying Bias in GANs through the Lens of Race V. Maluleke Neerja Thakkar Tim Brooks Ethan Weber Trevor Darrell Alexei A. Efros Angjoo Kanazawa Devin Guillory 24 34 0 06 Sep 2022
Gender and Racial Bias in Visual Question Answering Datasets Yusuke Hirota Yuta Nakashima Noa Garcia FaML 116 46 0 17 May 2022
Adversarial Representation Learning With Closed-Form Solvers Bashir Sadeghi Lan Wang Vishnu Naresh Boddeti 21 5 0 12 Sep 2021
Are Gender-Neutral Queries Really Gender-Neutral? Mitigating Gender Bias in Image Search Jialu Wang Yang Liu X. Wang FaML 144 95 0 12 Sep 2021
Unsupervised Learning of Debiased Representations with Pseudo-Attributes Seonguk Seo Joon-Young Lee Bohyung Han FaML 57 47 0 06 Aug 2021
Zero-Shot Text-to-Image Generation Aditya A. Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever VLM 253 4,735 0 24 Feb 2021
Improving the Fairness of Deep Generative Models without Retraining Shuhan Tan Yujun Shen Bolei Zhou 167 53 0 09 Dec 2020
On the Global Optima of Kernelized Adversarial Representation Learning Bashir Sadeghi Runyi Yu Vishnu Naresh Boddeti AAML 59 29 0 16 Oct 2019
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 286 4,143 0 23 Aug 2019
Learning Adversarially Fair and Transferable Representations David Madras Elliot Creager T. Pitassi R. Zemel FaML 205 663 0 17 Feb 2018
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 229 74,467 0 18 May 2015
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 279 39,083 0 01 Sep 2014