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QGFace: Quality-Guided Joint Training For Mixed-Quality Face Recognition

QGFace: Quality-Guided Joint Training For Mixed-Quality Face Recognition

29 December 2023
Youzhe Song
Feng Wang
    CVBM
ArXiv (abs)PDFHTML

Papers citing "QGFace: Quality-Guided Joint Training For Mixed-Quality Face Recognition"

14 / 14 papers shown
Title
Dive into the Resolution Augmentations and Metrics in Low Resolution
  Face Recognition: A Plain yet Effective New Baseline
Dive into the Resolution Augmentations and Metrics in Low Resolution Face Recognition: A Plain yet Effective New Baseline
Xu Ling
Yichen Lu
Wenqi Xu
Weihong Deng
Yingjie Zhang
Xingchen Cui
Hongzhi Shi
Dongchao Wen
CVBM
80
3
0
11 Feb 2023
Controllable and Guided Face Synthesis for Unconstrained Face
  Recognition
Controllable and Guided Face Synthesis for Unconstrained Face Recognition
Feng Liu
Minchul Kim
Anil Jain
Xiaoming Liu
CVBM
95
40
0
20 Jul 2022
AdaFace: Quality Adaptive Margin for Face Recognition
AdaFace: Quality Adaptive Margin for Face Recognition
Minchul Kim
Anil K. Jain
Xiaoming Liu
CVBM
116
408
0
03 Apr 2022
MagFace: A Universal Representation for Face Recognition and Quality
  Assessment
MagFace: A Universal Representation for Face Recognition and Quality Assessment
Qiang Meng
Shichao Zhao
Zhida Huang
F. Zhou
CVBM
88
491
0
11 Mar 2021
BroadFace: Looking at Tens of Thousands of People at Once for Face
  Recognition
BroadFace: Looking at Tens of Thousands of People at Once for Face Recognition
Y. Kim
Wonpyo Park
Jongju Shin
CVBM
136
51
0
15 Aug 2020
CurricularFace: Adaptive Curriculum Learning Loss for Deep Face
  Recognition
CurricularFace: Adaptive Curriculum Learning Loss for Deep Face Recognition
Yanhua Huang
Yuhan Wang
Ying Tai
Xiaoming Liu
Pengcheng Shen
Shaoxin Li
Jilin Li
Feiyue Huang
CVBM
71
508
0
01 Apr 2020
Towards Universal Representation Learning for Deep Face Recognition
Towards Universal Representation Learning for Deep Face Recognition
Yichun Shi
Xiang Yu
Kihyuk Sohn
Manmohan Chandraker
Anil K. Jain
CVBMOOD
127
150
0
26 Feb 2020
Cross-Resolution Learning for Face Recognition
Cross-Resolution Learning for Face Recognition
F. V. Massoli
Giuseppe Amato
Fabrizio Falchi
SupRCVBM
75
70
0
05 Dec 2019
Mis-classified Vector Guided Softmax Loss for Face Recognition
Mis-classified Vector Guided Softmax Loss for Face Recognition
Xiaobo Wang
Shifeng Zhang
Shuo Wang
Tianyu Fu
Hailin Shi
Tao Mei
CVBM
56
164
0
26 Nov 2019
Momentum Contrast for Unsupervised Visual Representation Learning
Momentum Contrast for Unsupervised Visual Representation Learning
Kaiming He
Haoqi Fan
Yuxin Wu
Saining Xie
Ross B. Girshick
SSL
216
12,136
0
13 Nov 2019
Super-Identity Convolutional Neural Network for Face Hallucination
Super-Identity Convolutional Neural Network for Face Hallucination
Kaipeng Zhang
Zhanpeng Zhang
Chia-Wen Cheng
Winston H. Hsu
L. Burget
Wen Liu
Tong Zhang
SupR
55
131
0
06 Nov 2018
To learn image super-resolution, use a GAN to learn how to do image
  degradation first
To learn image super-resolution, use a GAN to learn how to do image degradation first
Adrian Bulat
J. Yang
Georgios Tzimiropoulos
SupR
75
354
0
30 Jul 2018
VGGFace2: A dataset for recognising faces across pose and age
VGGFace2: A dataset for recognising faces across pose and age
Qiong Cao
Li Shen
Weidi Xie
Omkar M. Parkhi
Andrew Zisserman
CVBM
103
2,638
0
23 Oct 2017
Cross-Age LFW: A Database for Studying Cross-Age Face Recognition in
  Unconstrained Environments
Cross-Age LFW: A Database for Studying Cross-Age Face Recognition in Unconstrained Environments
Tianyue Zheng
Weihong Deng
Jiani Hu
CVBM
74
418
0
28 Aug 2017
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