SOTAVerified

Lightweight Face Recognition

Lightweight Face Recognition models are a group of face recognition models with lightweight backbones, which can be used for mobile or edge device applications.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–10 of 14 papers

TitleStatusHype
Lightweight Face Recognition: An Improved MobileFaceNet Model—0
SynthDistill: Face Recognition with Knowledge Distillation from Synthetic DataCode0
EFaR 2023: Efficient Face Recognition CompetitionCode1
EdgeFace: Efficient Face Recognition Model for Edge DevicesCode1
GhostFaceNets: Lightweight Face Recognition Model From Cheap OperationsCode2
QuantFace: Towards Lightweight Face Recognition by Synthetic Data Low-bit QuantizationCode1
PocketNet: Extreme Lightweight Face Recognition Network using Neural Architecture Search and Multi-Step Knowledge DistillationCode1
MixFaceNets: Extremely Efficient Face Recognition NetworksCode1
SqueezeFacePoseNet: Lightweight Face Verification Across Different Poses for Mobile Platforms—0
VarGFaceNet: An Efficient Variable Group Convolutional Neural Network for Lightweight Face RecognitionCode0
Show:102550
← PrevPage 1 of 2Next →

No leaderboard results yet.