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Lightweight Face Recognition

3D Face Modelling › Facial Recognition and Modelling › Face Recognition › Lightweight Face Recognition 27 평가 기록 7 datasets

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

논문

EdgeFace: Efficient Face Recognition Model for Edge Devices

2307.01838 2023-07-04 이 페이지의 평가 14건

MParams: 3.65MFLOPs: 306.11 Accuracy: 0.9693

PocketNet: Extreme Lightweight Face Recognition Network using Neural Architecture Search and Multi-Step Knowledge Distillation

2108.10710 2021-08-24 이 페이지의 평가 5건

Accuracy: 0.9635

MixFaceNets: Extremely Efficient Face Recognition Networks

2107.13046 2021-07-27 이 페이지의 평가 3건

Accuracy: 0.996MFLOPs: 451.7MParams: 3.07

SeesawFaceNets: sparse and robust face verification model for mobile platform

1908.09124 2019-08-24 이 페이지의 평가 3건

MParams: 2.8Accuracy: 0.9648

MobileFaceNets: Efficient CNNs for Accurate Real-Time Face Verification on Mobile Devices

1804.07573 2018-04-20 이 페이지의 평가 2건

Accuracy: 0.9305