SDFR: Synthetic Data for Face Recognition Competition

arXiv:2404.04580v1 Announce Type: new
Abstract: Large-scale face recognition datasets are collected by crawling the Internet and without individuals' consent, raising legal, ethical, and privacy concerns. With the recent advances in generative models, recently several works proposed generating synthetic face recognition datasets to mitigate concerns in web-crawled face recognition datasets. This paper presents the summary of the Synthetic Data for Face Recognition (SDFR) Competition held in conjunction with the 18th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2024) …

abstract advances arxiv competition concerns consent crawling cs.cv data datasets ethical face face recognition generative generative models internet legal paper privacy recognition scale synthetic synthetic data type web