Analysis of Manual and Automated Skin Tone Assignments for Face Recognition Applications

29 April 2021

Papers citing "Analysis of Manual and Automated Skin Tone Assignments for Face Recognition Applications"

8 / 8 papers shown

Title
Evaluating Fairness and Mitigating Bias in Machine Learning: A Novel Technique using Tensor Data and Bayesian Regression Kuniko Paxton Koorosh Aslansefat Dhavalkumar Thakker Y. Papadopoulos 15 0 0 13 Jun 2025
AI-Face: A Million-Scale Demographically Annotated AI-Generated Face Dataset and Fairness Benchmark Li Lin Santosh Xin Eric Wang Shu Hu Shu Hu EGVM 155 12 0 02 Jun 2024
What's color got to do with it? Face recognition in grayscale Aman Bhatta Domingo Mery Haiyu Wu Joyce Annan Micheal C. King Kevin W. Bowyer CVBM 79 4 0 11 Sep 2023
Consensus and Subjectivity of Skin Tone Annotation for ML Fairness Candice Schumann Gbolahan O. Olanubi Auriel Wright Ellis P. Monk Courtney Heldreth Susanna Ricco 107 24 0 16 May 2023
Measuring Hidden Bias within Face Recognition via Racial Phenotypes Seyma Yucer Furkan Tektas Noura Al Moubayed T. Breckon CVBM 66 25 0 19 Oct 2021
Reliability and Validity of Image-Based and Self-Reported Skin Phenotype Metrics John J. Howard Yevgeniy B. Sirotin Jerry L. Tipton A. Vemury 80 28 0 18 Jun 2021
Towards Measuring Fairness in AI: the Casual Conversations Dataset C. Hazirbas Joanna Bitton Brian Dolhansky Jacqueline Pan Albert Gordo Cristian Canton Ferrer EGVM 96 93 0 06 Apr 2021
Xception: Deep Learning with Depthwise Separable Convolutions François Chollet MDE BDL PINN 1.5K 14,648 0 07 Oct 2016