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Unknown Identity Rejection Loss: Utilizing Unlabeled Data for Face
  Recognition

Unknown Identity Rejection Loss: Utilizing Unlabeled Data for Face Recognition

24 October 2019
Haiming Yu
Yin Fan
Keyu Chen
He Yan
Xiangju Lu
Junhui Liu
Danming Xie
    CVBM
ArXivPDFHTML

Papers citing "Unknown Identity Rejection Loss: Utilizing Unlabeled Data for Face Recognition"

4 / 4 papers shown
Title
Database-Agnostic Gait Enrollment using SetTransformers
Database-Agnostic Gait Enrollment using SetTransformers
Nicoleta Basoc
Adrian Cosma
Andy Catruna
Emilian Radoi
SLR
36
0
0
05 May 2025
The Elements of End-to-end Deep Face Recognition: A Survey of Recent
  Advances
The Elements of End-to-end Deep Face Recognition: A Survey of Recent Advances
Hang Du
Hailin Shi
Dan Zeng
Xiaoping Zhang
Tao Mei
OOD
33
118
0
28 Sep 2020
Mean teachers are better role models: Weight-averaged consistency
  targets improve semi-supervised deep learning results
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
Antti Tarvainen
Harri Valpola
OOD
MoMe
273
1,275
0
06 Mar 2017
Range Loss for Deep Face Recognition with Long-tail
Range Loss for Deep Face Recognition with Long-tail
Xiao Zhang
Zhiyuan Fang
Yandong Wen
Zhifeng Li
Yu Qiao
CVBM
243
447
0
28 Nov 2016
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