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Unified Negative Pair Generation toward Well-discriminative Feature
  Space for Face Recognition
v1v2 (latest)

Unified Negative Pair Generation toward Well-discriminative Feature Space for Face Recognition

22 March 2022
Junuk Jung
Seon-Hoon Lee
Heung‐Seon Oh
Yongjun Park
Joochan Park
Sungbin Son
    CVBM
ArXiv (abs)PDFHTML

Papers citing "Unified Negative Pair Generation toward Well-discriminative Feature Space for Face Recognition"

29 / 29 papers shown
Title
AdaFace: Quality Adaptive Margin for Face Recognition
AdaFace: Quality Adaptive Margin for Face Recognition
Minchul Kim
Anil K. Jain
Xiaoming Liu
CVBM
114
408
0
03 Apr 2022
MixFace: Improving Face Verification Focusing on Fine-grained Conditions
MixFace: Improving Face Verification Focusing on Fine-grained Conditions
Junuk Jung
Sungbin Son
Joochan Park
Yongjun Park
Seon-Hoon Lee
Heung‐Seon Oh
CVBM
50
2
0
02 Nov 2021
ElasticFace: Elastic Margin Loss for Deep Face Recognition
ElasticFace: Elastic Margin Loss for Deep Face Recognition
Fadi Boutros
Naser Damer
Florian Kirchbuchner
Arjan Kuijper
CVBM
77
222
0
20 Sep 2021
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
74
491
0
11 Mar 2021
K-FACE: A Large-Scale KIST Face Database in Consideration with
  Unconstrained Environments
K-FACE: A Large-Scale KIST Face Database in Consideration with Unconstrained Environments
Yeji Choi
Hyunjung Park
G. Nam
Haksub Kim
Heeseung Choi
Junghyun Cho
Ig-Jae Kim
CVBM
19
11
0
03 Mar 2021
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
66
507
0
01 Apr 2020
Circle Loss: A Unified Perspective of Pair Similarity Optimization
Circle Loss: A Unified Perspective of Pair Similarity Optimization
Yifan Sun
Changmao Cheng
Yuhan Zhang
Chi Zhang
Liang Zheng
Zhongdao Wang
Yichen Wei
99
859
0
25 Feb 2020
AdaCos: Adaptively Scaling Cosine Logits for Effectively Learning Deep
  Face Representations
AdaCos: Adaptively Scaling Cosine Logits for Effectively Learning Deep Face Representations
Xiao Zhang
Rui Zhao
Yu Qiao
Xiaogang Wang
Hongsheng Li
CVBM
90
216
0
01 May 2019
Multi-Similarity Loss with General Pair Weighting for Deep Metric
  Learning
Multi-Similarity Loss with General Pair Weighting for Deep Metric Learning
Xun Wang
Xintong Han
Weilin Huang
Dengke Dong
Matthew R. Scott
83
754
0
14 Apr 2019
CosFace: Large Margin Cosine Loss for Deep Face Recognition
CosFace: Large Margin Cosine Loss for Deep Face Recognition
Haobo Wang
Yitong Wang
Zheng Zhou
Xing Ji
Dihong Gong
Jin Zhou
Zhifeng Li
Wei Liu
CVBMMQ
133
2,510
0
29 Jan 2018
Additive Margin Softmax for Face Verification
Additive Margin Softmax for Face Verification
Feng Wang
Weiyang Liu
Haijun Liu
Jian Cheng
CVBM
97
1,274
0
17 Jan 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
100
2,635
0
23 Oct 2017
Squeeze-and-Excitation Networks
Squeeze-and-Excitation Networks
Jie Hu
Li Shen
Samuel Albanie
Gang Sun
Enhua Wu
427
26,557
0
05 Sep 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
67
418
0
28 Aug 2017
SphereFace: Deep Hypersphere Embedding for Face Recognition
SphereFace: Deep Hypersphere Embedding for Face Recognition
Weiyang Liu
Yandong Wen
Zhiding Yu
Ming Li
Bhiksha Raj
Le Song
CVBM
234
2,804
0
26 Apr 2017
NormFace: L2 Hypersphere Embedding for Face Verification
NormFace: L2 Hypersphere Embedding for Face Verification
Feng Wang
Xiang Xiang
Jian Cheng
Alan Yuille
3DHCVBM
71
745
0
21 Apr 2017
L2-constrained Softmax Loss for Discriminative Face Verification
L2-constrained Softmax Loss for Discriminative Face Verification
Rajeev Ranjan
Carlos D. Castillo
Rama Chellappa
CVBM
98
454
0
28 Mar 2017
Large-Margin Softmax Loss for Convolutional Neural Networks
Large-Margin Softmax Loss for Convolutional Neural Networks
Weiyang Liu
Yandong Wen
Zhiding Yu
Meng Yang
CVBM
81
1,456
0
07 Dec 2016
SGDR: Stochastic Gradient Descent with Warm Restarts
SGDR: Stochastic Gradient Descent with Warm Restarts
I. Loshchilov
Frank Hutter
ODL
350
8,174
0
13 Aug 2016
MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition
MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition
Yandong Guo
Lei Zhang
Yuxiao Hu
Xiaodong He
Jianfeng Gao
CVBM
166
1,962
0
27 Jul 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,426
0
10 Dec 2015
The MegaFace Benchmark: 1 Million Faces for Recognition at Scale
The MegaFace Benchmark: 1 Million Faces for Recognition at Scale
Ira Kemelmacher-Shlizerman
S. M. Seitz
Daniel Miller
Evan Brossard
CVBM
85
862
0
02 Dec 2015
Deep Metric Learning via Lifted Structured Feature Embedding
Deep Metric Learning via Lifted Structured Feature Embedding
Hyun Oh Song
Yu Xiang
Stefanie Jegelka
Silvio Savarese
FedMLSSLDML
97
1,643
0
19 Nov 2015
FaceNet: A Unified Embedding for Face Recognition and Clustering
FaceNet: A Unified Embedding for Face Recognition and Clustering
Florian Schroff
Dmitry Kalenichenko
James Philbin
3DH
389
13,145
0
12 Mar 2015
Deep metric learning using Triplet network
Deep metric learning using Triplet network
Elad Hoffer
Nir Ailon
SSLDML
201
1,998
0
20 Dec 2014
Deeply learned face representations are sparse, selective, and robust
Deeply learned face representations are sparse, selective, and robust
Yi Sun
Xiaogang Wang
Xiaoou Tang
CVBM
323
924
0
03 Dec 2014
Learning Face Representation from Scratch
Learning Face Representation from Scratch
Dong Yi
Zhen Lei
Tianran Ouyang
Stan Z. Li
CVBM
94
2,011
0
28 Nov 2014
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
485
43,694
0
17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAttMDE
1.7K
100,508
0
04 Sep 2014
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