Lightweight Face Recognition
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Benchmarks
Most implemented
MobileFaceNets: Efficient CNNs for Accurate Real-Time Face Verification on Mobile Devices
GhostFaceNets: Lightweight Face Recognition Model From Cheap Operations
EdgeFace: Efficient Face Recognition Model for Edge Devices
Papers
FaceLiVTv2: An Improved Hybrid Architecture for Efficient Mobile Face Recognition
Lightweight face recognition is increasingly important for deployment on edge and mobile devices, where strict constraints on latency, memory, and energy consumption must be met alongside reliable accuracy. Although rece…
Lightweight Face RecognitionComputational EfficiencyLightweight Face Recognition: An Improved MobileFaceNet Model
This paper presents an extensive exploration and comparative analysis of lightweight face recognition (FR) models, specifically focusing on MobileFaceNet and its modified variant, MMobileFaceNet. The need for efficient F…
Face RecognitionLightweight Face RecognitionmodelSynthDistill: Face Recognition with Knowledge Distillation from Synthetic Data
State-of-the-art face recognition networks are often computationally expensive and cannot be used for mobile applications. Training lightweight face recognition models also requires large identity-labeled datasets. Meanw…
Face RecognitionKnowledge DistillationLightweight Face RecognitionSynthetic Face RecognitionEFaR 2023: Efficient Face Recognition Competition
This paper presents the summary of the Efficient Face Recognition Competition (EFaR) held at the 2023 International Joint Conference on Biometrics (IJCB 2023). The competition received 17 submissions from 6 different tea…
Face RecognitionLightweight Face RecognitionQuantizationEdgeFace: Efficient Face Recognition Model for Edge Devices
In this paper, 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 l…
Face RecognitionLightweight Face RecognitionmodelGhostFaceNets: Lightweight Face Recognition Model From Cheap Operations
The development of deep learning-based biometric models that can be deployed on devices with constrained memory and computational resources has proven to be a significant challenge. Previous approaches to this problem ha…
Face IdentificationFace RecognitionFace VerificationLightweight Face Recognition+1