DGFaceNet: Lightweight and efficient face recognition-Reference-Cited by-同舟云学术

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DGFaceNet: Lightweight and efficient face recognition

Published:2023-09 Issue: Volume:124 Page:106513
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Zhao Feng^ORCID,Zhang Peng,Zhang Ran,Li Mengwei

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference68 articles.

1. Partial FC: Training 10 million identities on a single machine;An,2021

2. QuantFace: Towards lightweight face recognition by synthetic data low-bit quantization;Boutros,2022

3. PocketNet: Extreme lightweight face recognition network using neural architecture search and multistep knowledge distillation;Boutros;IEEE Access,2022

4. Celeb-500K: A large training dataset for face recognition;Cao,2018

5. VGGFace2: A dataset for recognising faces across pose and age;Cao,2018

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. VarKFaceNet: An Efficient Variable Depthwise Convolution Kernels Neural Network for Lightweight Face Recognition;IEEE Access;2024

2. AutoFace: How to Obtain Mobile Neural Network-Based Facial Feature Extractor in Less Than 10 Minutes?;IEEE Access;2024

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