Racial bias within face recognition: A survey

S Yucer, F Tektas, N Al Moubayed… - ACM Computing Surveys, 2024 - dl.acm.org
Facial recognition is one of the most academically studied and industrially developed areas
within computer vision where we readily find associated applications deployed globally. This …

Going deeper into face detection: A survey

S Minaee, P Luo, Z Lin, K Bowyer - arxiv preprint arxiv:2103.14983, 2021 - arxiv.org
Face detection is a crucial first step in many facial recognition and face analysis systems.
Early approaches for face detection were mainly based on classifiers built on top of hand …

Learning bias-invariant representation by cross-sample mutual information minimization

W Zhu, H Zheng, H Liao, W Li… - Proceedings of the IEEE …, 2021 - openaccess.thecvf.com
Deep learning algorithms mine knowledge from the training data and thus would likely
inherit the dataset's bias information. As a result, the obtained model would generalize …

Balancing biases and preserving privacy on balanced faces in the wild

JP Robinson, C Qin, Y Henon… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
There are demographic biases present in current facial recognition (FR) models. To
measure these biases across different ethnic and gender subgroups, we introduce our …

On bias and fairness in deep learning-based facial analysis

S Mittal, P Majumdar, M Vatsa, R Singh - Handbook of Statistics, 2023 - Elsevier
Facial analysis systems are used in a variety of scenarios such as law enforcement, military,
and daily life, which impact important aspects of our lives. With the onset of the deep …

[PDF][PDF] 公**机器学**: 概念, 分析与设计

古天龙, **龙, 常亮, 罗义琴 - 计算机学报, 2022 - cjc.ict.ac.cn
1)(暨南大学信息科学技术学院, 广州510632) 2)(桂林电子科技大学广西可信软件重点实验室,
广西桂林541004) 摘要随着人工智能的发展, 机器学**技术越来越多地应用于社会各个领域 …

UPCS: Unbiased Persona Construction for Dialogue Generation

K Chen, Y Wei - arxiv preprint arxiv:2409.05257, 2024 - arxiv.org
Narrative systems, such as dialogue and storytelling systems, often utilize persona profiles
to enhance personalized interactions. Existing persona profiles frequently exhibit biases …

[PDF][PDF] Racial Bias within Face Recognition: A Survey

F TEKTAS, N AL MOUBAYED… - arxiv preprint arxiv …, 2023 - academia.edu
Facial recognition is one of the most academically studied and industrially developed areas
within computer vision where we readily find associated applications deployed globally. This …

[LIBRO][B] Advances in Learning to Generalize to Out-of-Distribution Data

W Zhu - 2023 - search.proquest.com
Data-driven deep models will inherit the characteristics of the training data and thus can
often successfully handle the in-distribution testing data. However, in real-life applications …

[Re] On the Reproducibility of “FairCal: Fairness Calibration for Face Verification”

M Don, S Chatterji, M Kapralova… - ML Reproducibility …, 2023 - openreview.net
Scope of Reproducibility—This paper aims to reproduce the study FairCal: Fairness
Calibration for Face Verification by Salvador et al., focused on verifying three main claims …