One Label, One Billion Faces: Usage and Consistency of Racial Categories in Computer Vision

3 February 2021

Papers citing "One Label, One Billion Faces: Usage and Consistency of Racial Categories in Computer Vision"

9 / 9 papers shown

Title
AI-Face: A Million-Scale Demographically Annotated AI-Generated Face Dataset and Fairness Benchmark Li Lin Santosh Xin Wang Shu Hu Shu Hu EGVM 81 11 0 02 Jun 2024
Racial Bias within Face Recognition: A Survey Seyma Yucer Furkan Tektas Noura Al Moubayed T. Breckon FaML 38 10 0 01 May 2023
Out of Context: Investigating the Bias and Fairness Concerns of "Artificial Intelligence as a Service" Kornel Lewicki M. S. Lee Jennifer Cobbe Jatinder Singh 31 21 0 02 Feb 2023
A Keyword Based Approach to Understanding the Overpenalization of Marginalized Groups by English Marginal Abuse Models on Twitter Kyra Yee Alice Schoenauer Sebag Olivia Redfield Emily Sheng Matthias Eck Luca Belli 28 2 0 07 Oct 2022
Quantifying Societal Bias Amplification in Image Captioning Yusuke Hirota Yuta Nakashima Noa Garcia 19 49 0 29 Mar 2022
Mitigating Dataset Harms Requires Stewardship: Lessons from 1000 Papers Kenny Peng Arunesh Mathur Arvind Narayanan 99 93 0 06 Aug 2021
Understanding and Evaluating Racial Biases in Image Captioning Dora Zhao Angelina Wang Olga Russakovsky 21 134 0 16 Jun 2021
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
A disciplined approach to neural network hyper-parameters: Part 1 -- learning rate, batch size, momentum, and weight decay L. Smith 208 1,019 0 26 Mar 2018