Exploring the Potential for Real-Time Vision Transformer-Level Precision on Face Recognition Scenarios through Binarization on Embedded Systems
Date:
Poster presentation of our peer-reviewed extended abstract at the LatinX in AI workshop at ICCV 2023. The work explores whether binarized networks can bring face recognition close to Vision Transformer-level accuracy while running in real time on embedded systems, continuing my PhD research on efficient face recognition.
Authors: Luis S. Luevano, Miguel González-Mendoza, Yoanna Martínez-Díaz, Heydi Méndez-Vázquez.