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Massively Annotated Datasets for Assessment of Synthetic and Real Data in Face Recognition

AuthID
P-010-G68

Author(s)

Neto, PC

Mamede, RM

Albuquerque, C

Gonçalves, T

Sequeira, AF

Tipo de Documento

Proceedings Paper

Year published

2024

Publicado

in 2024 IEEE 18TH INTERNATIONAL CONFERENCE ON AUTOMATIC FACE AND GESTURE RECOGNITION, FG 2024 in IEEE International Conference on Automatic Face and Gesture Recognition and Workshops, ISSN: 2326-5396

Páginas: 1-7 (7)

Conference

18Th International Conference on Automatic Face and Gesture Recognition (Fg), Date: MAY 27-31, 2024, Location: Istanbul, TURKEY

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Publication Identifiers

DOI: 10.1109/fg59268.2024.10581953

DBLP: conf/fgr/NetoMAGS24

SCOPUS: 2-s2.0-85199446600

Wos: WOS:001270976600070

Source Identifiers

ISSN: 2326-5396

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Massively Annotated Datasets for Assessment of Synthetic and Real Data in Face Recognition

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Massively Annotated Datasets for Assessment of Synthetic and Real Data in Face Recognition

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