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Rethinking Feature Discrimination and Polymerization for Large-scale
  Recognition

Rethinking Feature Discrimination and Polymerization for Large-scale Recognition

2 October 2017
Yu Liu
Hongyang Li
Xiaogang Wang
    CVBM
ArXivPDFHTML

Papers citing "Rethinking Feature Discrimination and Polymerization for Large-scale Recognition"

18 / 18 papers shown
Title
Speaker Representation Learning via Contrastive Loss with Maximal
  Speaker Separability
Speaker Representation Learning via Contrastive Loss with Maximal Speaker Separability
Zhe Li
Man-Wai Mak
SSL
26
6
0
29 Oct 2022
Fine-tune your Classifier: Finding Correlations With Temperature
Fine-tune your Classifier: Finding Correlations With Temperature
Benjamin Chamand
Olivier Risser-Maroix
Camille Kurtz
P. Joly
Nicolas Loménie
38
2
0
18 Oct 2022
Generalized Inter-class Loss for Gait Recognition
Generalized Inter-class Loss for Gait Recognition
Weichen Yu
Hongyuan Yu
Yan Huang
Liang Wang
CVBM
37
12
0
13 Oct 2022
Rapid detection and recognition of whole brain activity in a freely
  behaving Caenorhabditis elegans
Rapid detection and recognition of whole brain activity in a freely behaving Caenorhabditis elegans
Yuxiang Wu
Shan Wu
Xin Wang
Chengtian Lang
Quanshi Zhang
Quan Wen
Tianqi Xu
18
8
0
22 Sep 2021
IronMask: Modular Architecture for Protecting Deep Face Template
IronMask: Modular Architecture for Protecting Deep Face Template
Sunpill Kim
Yun-Su Jeong
Jinsu Kim
Jungkon Kim
H. Lee
Jae Hong Seo
CVBM
38
12
0
06 Apr 2021
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
Alpha-Net: Architecture, Models, and Applications
Alpha-Net: Architecture, Models, and Applications
Jishan Shaikh
Adya Sharma
Ankit Chouhan
Avinash Mahawar
OOD
13
0
0
27 Jun 2020
PF-cpGAN: Profile to Frontal Coupled GAN for Face Recognition in the
  Wild
PF-cpGAN: Profile to Frontal Coupled GAN for Face Recognition in the Wild
Fariborz Taherkhani
Veeru Talreja
J. Dawson
Matthew C. Valenti
Nasser M. Nasrabadi
CVBM
GAN
33
15
0
25 Apr 2020
The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image
  Classification
The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification
Dongliang Chang
Yifeng Ding
Jiyang Xie
A. Bhunia
Xiaoxu Li
Zhanyu Ma
Ming Wu
Jun Guo
Yi-Zhe Song
32
300
0
11 Feb 2020
Biometrics Recognition Using Deep Learning: A Survey
Biometrics Recognition Using Deep Learning: A Survey
Shervin Minaee
AmirAli Abdolrashidi
Hang Su
Bennamoun
David C. Zhang
23
84
0
30 Nov 2019
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
30
214
0
01 May 2019
Large Margin Few-Shot Learning
Large Margin Few-Shot Learning
Yong Wang
Xiao-Ming Wu
Qimai Li
Jiatao Gu
Wangmeng Xiang
Lei Zhang
V. Li
MQ
29
29
0
08 Jul 2018
Deep Imbalanced Learning for Face Recognition and Attribute Prediction
Deep Imbalanced Learning for Face Recognition and Attribute Prediction
Chen Huang
Yining Li
Chen Change Loy
Xiaoou Tang
CVBM
14
309
0
01 Jun 2018
Decoupled Networks
Decoupled Networks
Weiyang Liu
Ziqiang Liu
Zhiding Yu
Bo Dai
Rongmei Lin
Yisen Wang
James M. Rehg
Le Song
OOD
17
2
0
22 Apr 2018
Exploring Disentangled Feature Representation Beyond Face Identification
Exploring Disentangled Feature Representation Beyond Face Identification
Yu Liu
Fangyin Wei
Jing Shao
Lu Sheng
Junjie Yan
Xiaogang Wang
CoGe
CVBM
27
155
0
10 Apr 2018
Person Recognition in Personal Photo Collections
Person Recognition in Personal Photo Collections
Seong Joon Oh
Rodrigo Benenson
Mario Fritz
Bernt Schiele
CVBM
332
9
0
09 Oct 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
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
250
921
0
03 Dec 2014
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