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SDFR: Synthetic Data for Face Recognition Competition

Hatef Otroshi Shahreza,Christophe Ecabert,Anjith George,Alexander Unnervik,Sebastien Marcel,Nicolo Di Domenico,Guido Borghi,Davide Maltoni,Fadi Boutros, Julia Vogel,Naser Damer,Angela Sanchez-Perez, Enrique Mas-Candela,Jorge Calvo-Zaragoza,Bernardo Biesseck,Pedro Vidal,Roger Granada,David Menotti,Ivan DeAndres-Tame,Simone Maurizio La Cava,Sara Concas,Pietro Melzi,Ruben Tolosana,Ruben Vera-Rodriguez,Gianpaolo Perelli,Giulia Orru,Gian Luca Marcialis,Julian Fierrez

2024 IEEE 18TH INTERNATIONAL CONFERENCE ON AUTOMATIC FACE AND GESTURE RECOGNITION, FG 2024（2024）

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Key words
Face Recognition,Recognition Competition,Almost Complete,Large-scale Datasets,Benchmark Datasets,Gesture Recognition,Training Pipeline,Complete Freedom,Face Recognition Model,Face Training,Training Dataset,Results In Table,Image Dataset,Data Augmentation,Stochastic Gradient Descent,Face Images,Task Model,Gaussian Blur,Synthetic Images,Data Augmentation Techniques,Competition Law,Identity Labels,Final Submission,Half Of The Face,Literature Datasets,Random Flipping,Caucasian Group,Intra-class Variance,StyleGAN,Equal Error Rate
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