xEdgeFace: Efficient Cross-Spectral Face Recognition for Edge Devices

Sep 1, 2025·
Anjith George
Prof. Sébastien Marcel
Prof. Sébastien Marcel
· 0 min read
Abstract
We present EdgeFace- a lightweight and efficient face recognition network inspired by the hybrid architecture of EdgeNeXt. By effectively combining the strengths of both CNN and Transformer models, and a low rank linear layer, EdgeFace achieves excellent face recognition performance optimized for edge devices. The proposed EdgeFace network not only maintains low computational costs and compact storage, but also achieves high face recognition accuracy, making it suitable for deployment on edge devices. The proposed EdgeFace model achieved the top ranking among models with fewer than 2M parameters in the IJCB 2023 Efficient Face Recognition Competition. Extensive experiments on challenging benchmark face datasets demonstrate the effectiveness and efficiency of EdgeFace in comparison to state-of-the-art lightweight models and deep face recognition models. Our EdgeFace model with 1.77M parameters achieves state of the art results on LFW (99.73%), IJB-B (92.67%), and IJB-C (94.85%), outperforming other efficient models with larger computational complexities. The code to replicate the experiments will be made available publicly.
Type
Publication
International Joint Conference on Biometrics
publications
Heterogenous Face Recognition Presentation Attack Detection
Prof. Sébastien Marcel
Authors
Prof. Sébastien Marcel (he)
Senior Research Scientist
Prof Sébastien Marcel (IEEE Fellow and IAPR Fellow) is a senior research scientist at the Idiap Research Institute (Switzerland), he heads the Biometrics Security and Privacy group and conducts research on face recognition, speaker recognition, vein recognition, attack detection (presentation attacks, morphing attacks, deepfakes) and template protection. He is also Professor at the University de Lausanne (UNIL) at the School of Criminal Justice. He is also the Director of the Swiss Center for Biometrics at Idiap, which conducts certifications of biometric products. He was Associate Editor and Guest Editor of IEEE journals (TBIOM, SPL, TIFS and SPM). He is also the lead Editor of the Springer Handbook of Biometrics Anti-Spoofing (Editions 1, 2 and 3). Since June 2025 he is a member of the Idiap Direction ad interim.