3 citations · 3 across the 2 of their papers we have counts for
5 papers
How Knowledge Distillation Mitigates the Synthetic Gap in Fair Face Recognition
Pedro C. Neto, Ivona Colakovic, Sašo Karakatič +1
Leveraging the capabilities of Knowledge Distillation (KD) strategies, we devise a strategy to fight the recent retraction of face recognition datasets. Given a pretrained Teacher…
MST-KD: Multiple Specialized Teachers Knowledge Distillation for Fair Face Recognition
Eduarda Caldeira, Jaime S. Cardoso, Ana F. Sequeira +1
As in school, one teacher to cover all subjects is insufficient to distill equally robust information to a student. Hence, each subject is taught by a highly specialised teacher. F…
FocusFace: Multi-task Contrastive Learning for Masked Face Recognition
Pedro C. Neto, Fadi Boutros, João Ribeiro Pinto +3
SARS-CoV-2 has presented direct and indirect challenges to the scientific community. One of the most prominent indirect challenges advents from the mandatory use of face masks in a…
My Eyes Are Up Here: Promoting Focus on Uncovered Regions in Masked Face Recognition
Pedro C. Neto, Fadi Boutros, João Ribeiro Pinto +4
The recent Covid-19 pandemic and the fact that wearing masks in public is now mandatory in several countries, created challenges in the use of face recognition systems (FRS). In th…
MFR 2021: Masked Face Recognition Competition
Fadi Boutros, Naser Damer, Jan Niklas Kolf +32
This paper presents a summary of the Masked Face Recognition Competitions (MFR) held within the 2021 International Joint Conference on Biometrics (IJCB 2021). The competition attra…