ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1605.07270
  4. Cited By
Learning a Metric Embedding for Face Recognition using the Multibatch
  Method

Learning a Metric Embedding for Face Recognition using the Multibatch Method

24 May 2016
Oren Tadmor
Y. Wexler
Tal Rosenwein
Shai Shalev-Shwartz
Amnon Shashua
    CVBM
ArXivPDFHTML

Papers citing "Learning a Metric Embedding for Face Recognition using the Multibatch Method"

28 / 28 papers shown
Title
RSTAM: An Effective Black-Box Impersonation Attack on Face Recognition
  using a Mobile and Compact Printer
RSTAM: An Effective Black-Box Impersonation Attack on Face Recognition using a Mobile and Compact Printer
Xiaoliang Liu
S. Furao
Jian Zhao
Changhai Nie
AAML
CVBM
33
5
0
25 Jun 2022
A Functional Information Perspective on Model Interpretation
A Functional Information Perspective on Model Interpretation
Itai Gat
Nitay Calderon
Roi Reichart
Tamir Hazan
AAML
FAtt
33
6
0
12 Jun 2022
Human Face Recognition from Part of a Facial Image based on Image
  Stitching
Human Face Recognition from Part of a Facial Image based on Image Stitching
O. R. Shahin
Rami Ayedi
Rayan Alanazi
R. El-Aziz
A. Taloba
3DH
CVBM
11
5
0
10 Mar 2022
Latent Space Explanation by Intervention
Latent Space Explanation by Intervention
Itai Gat
Guy Lorberbom
Idan Schwartz
Tamir Hazan
BDL
33
14
0
09 Dec 2021
Improving Deep Metric Learning by Divide and Conquer
Improving Deep Metric Learning by Divide and Conquer
A. Sanakoyeu
Pingchuan Ma
Vadim Tschernezki
Bjorn Ommer
32
14
0
09 Sep 2021
Recent Advances in Deep Learning Techniques for Face Recognition
Recent Advances in Deep Learning Techniques for Face Recognition
Md. Tahmid Hasan Fuad
Awal Ahmed Fime
Delowar Sikder
Md. Akil Raihan Iftee
Jakaria Rabbi
Mabrook S. Al-Rakhami
Abdu H. Gumaei
Ovishake Sen
Mohtasim Fuad
Md. Nazrul Islam
34
63
0
18 Mar 2021
Scheduled Sampling in Vision-Language Pretraining with Decoupled
  Encoder-Decoder Network
Scheduled Sampling in Vision-Language Pretraining with Decoupled Encoder-Decoder Network
Yehao Li
Yingwei Pan
Ting Yao
Jingwen Chen
Tao Mei
VLM
21
52
0
27 Jan 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
Instance Cross Entropy for Deep Metric Learning
Instance Cross Entropy for Deep Metric Learning
Xinshao Wang
Elyor Kodirov
Yang Hua
N. Robertson
21
5
0
22 Nov 2019
ID-aware Quality for Set-based Person Re-identification
ID-aware Quality for Set-based Person Re-identification
Xinshao Wang
Elyor Kodirov
Yang Hua
N. Robertson
22
5
0
20 Nov 2019
Video Representation Learning by Dense Predictive Coding
Video Representation Learning by Dense Predictive Coding
Tengda Han
Weidi Xie
Andrew Zisserman
SSL
16
359
0
10 Sep 2019
Deep Metric Learning Beyond Binary Supervision
Deep Metric Learning Beyond Binary Supervision
Sungyeon Kim
Minkyo Seo
Ivan Laptev
Minsu Cho
Suha Kwak
SSL
20
94
0
21 Apr 2019
Neural Architecture Search for Deep Face Recognition
Neural Architecture Search for Deep Face Recognition
Ning Zhu
CVBM
22
9
0
21 Apr 2019
Individual common dolphin identification via metric embedding learning
Individual common dolphin identification via metric embedding learning
Soren Bouma
Matthew D. M. Pawley
K. Hupman
A. Gilman
23
32
0
09 Jan 2019
Deep Metric Learning by Online Soft Mining and Class-Aware Attention
Deep Metric Learning by Online Soft Mining and Class-Aware Attention
Xinshao Wang
Yang Hua
Elyor Kodirov
Guosheng Hu
N. Robertson
13
52
0
04 Nov 2018
Git Loss for Deep Face Recognition
Git Loss for Deep Face Recognition
Alessandro Calefati
Muhammad Kamran Janjua
Shah Nawaz
I. Gallo
CVBM
19
20
0
23 Jul 2018
Minimum Margin Loss for Deep Face Recognition
Minimum Margin Loss for Deep Face Recognition
Xin Wei
Hui Wang
B. Scotney
Huan Wan
CVBM
33
41
0
17 May 2018
Deep Face Recognition: A Survey
Deep Face Recognition: A Survey
Mei Wang
Weihong Deng
NoLa
25
1,211
0
18 Apr 2018
Generalization in Metric Learning: Should the Embedding Layer be the
  Embedding Layer?
Generalization in Metric Learning: Should the Embedding Layer be the Embedding Layer?
Nam S. Vo
James Hays
26
32
0
08 Mar 2018
Ring loss: Convex Feature Normalization for Face Recognition
Ring loss: Convex Feature Normalization for Face Recognition
Yutong Zheng
Dipan K. Pal
Marios Savvides
CVBM
14
198
0
28 Feb 2018
Rethinking Feature Discrimination and Polymerization for Large-scale
  Recognition
Rethinking Feature Discrimination and Polymerization for Large-scale Recognition
Yu Liu
Hongyang Li
Xiaogang Wang
CVBM
30
117
0
02 Oct 2017
Distance-based Confidence Score for Neural Network Classifiers
Distance-based Confidence Score for Neural Network Classifiers
Amit Mandelbaum
D. Weinshall
UQCV
9
110
0
28 Sep 2017
Joint Multi-view Face Alignment in the Wild
Joint Multi-view Face Alignment in the Wild
Jiankang Deng
George Trigeorgis
Yuxiang Zhou
S. Zafeiriou
CVBM
3DV
13
97
0
20 Aug 2017
Sampling Matters in Deep Embedding Learning
Sampling Matters in Deep Embedding Learning
Chaoxia Wu
R. Manmatha
Alex Smola
Philipp Krahenbuhl
25
919
0
23 Jun 2017
Multi-Task Convolutional Neural Network for Pose-Invariant Face
  Recognition
Multi-Task Convolutional Neural Network for Pose-Invariant Face Recognition
Xi Yin
Xiaoming Liu
CVBM
50
283
0
15 Feb 2017
Towards End-to-End Face Recognition through Alignment Learning
Towards End-to-End Face Recognition through Alignment Learning
Yuanyi Zhong
Jiansheng Chen
Bo Huang
CVBM
3DV
21
60
0
25 Jan 2017
Hard-Aware Deeply Cascaded Embedding
Hard-Aware Deeply Cascaded Embedding
Yuhui Yuan
Kuiyuan Yang
Chao Zhang
32
300
0
17 Nov 2016
Learning Deep Embeddings with Histogram Loss
Learning Deep Embeddings with Histogram Loss
E. Ustinova
Victor Lempitsky
53
349
0
02 Nov 2016
1