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Learning Deep Embeddings with Histogram Loss

Learning Deep Embeddings with Histogram Loss

2 November 2016
E. Ustinova
Victor Lempitsky
ArXivPDFHTML

Papers citing "Learning Deep Embeddings with Histogram Loss"

50 / 159 papers shown
Title
Multi-Modal Retrieval using Graph Neural Networks
Multi-Modal Retrieval using Graph Neural Networks
Aashish Kumar Misraa
Ajinkya Kale
Pranav Aggarwal
A. Aminian
GNN
16
12
0
04 Oct 2020
Diversified Mutual Learning for Deep Metric Learning
Diversified Mutual Learning for Deep Metric Learning
Wonpyo Park
Wonjae Kim
Kihyun You
Minsu Cho
FedML
25
6
0
09 Sep 2020
Deep Metric Learning Meets Deep Clustering: An Novel Unsupervised
  Approach for Feature Embedding
Deep Metric Learning Meets Deep Clustering: An Novel Unsupervised Approach for Feature Embedding
Binh X. Nguyen
Binh Duc Nguyen
G. Carneiro
Erman Tjiputra
Quang-Dieu Tran
Thanh-Toan Do
22
10
0
09 Sep 2020
Understanding and Exploiting Dependent Variables with Deep Metric
  Learning
Understanding and Exploiting Dependent Variables with Deep Metric Learning
Niall O' Mahony
S. Campbell
A. Carvalho
L. Krpalkova
G. Velasco-Hernández
Daniel Riordan
Joseph Walsh
14
1
0
08 Sep 2020
A Survey on Machine Learning from Few Samples
A Survey on Machine Learning from Few Samples
Jiang Lu
Pinghua Gong
Jieping Ye
Jianwei Zhang
Changshu Zhang
14
47
0
06 Sep 2020
BioMetricNet: deep unconstrained face verification through learning of
  metrics regularized onto Gaussian distributions
BioMetricNet: deep unconstrained face verification through learning of metrics regularized onto Gaussian distributions
Arslan Ali
Matteo Testa
T. Bianchi
E. Magli
CVBM
11
16
0
13 Aug 2020
Smooth-AP: Smoothing the Path Towards Large-Scale Image Retrieval
Smooth-AP: Smoothing the Path Towards Large-Scale Image Retrieval
A. Brown
Weidi Xie
Vicky Kalogeiton
Andrew Zisserman
44
163
0
23 Jul 2020
Domain Generalization via Optimal Transport with Metric Similarity
  Learning
Domain Generalization via Optimal Transport with Metric Similarity Learning
Fan Zhou
Zhuqing Jiang
Changjian Shui
Boyu Wang
B. Chaib-draa
OOD
27
53
0
21 Jul 2020
Robust Re-Identification by Multiple Views Knowledge Distillation
Robust Re-Identification by Multiple Views Knowledge Distillation
Angelo Porrello
Luca Bergamini
Simone Calderara
26
65
0
08 Jul 2020
Improving Deep Metric Learning with Virtual Classes and Examples Mining
Improving Deep Metric Learning with Virtual Classes and Examples Mining
Pierre Jacob
David Picard
A. Histace
Edouard Klein
VLM
19
3
0
11 Jun 2020
CoMIR: Contrastive Multimodal Image Representation for Registration
CoMIR: Contrastive Multimodal Image Representation for Registration
Nicolas Pielawski
Elisabeth Wetzer
Johan Öfverstedt
Jiahao Lu
Carolina Wählby
Joakim Lindblad
Natavsa Sladoje
6
80
0
11 Jun 2020
Global Distance-distributions Separation for Unsupervised Person
  Re-identification
Global Distance-distributions Separation for Unsupervised Person Re-identification
Xin Jin
Cuiling Lan
Wenjun Zeng
Zhibo Chen
OOD
16
69
0
01 Jun 2020
Unifying Few- and Zero-Shot Egocentric Action Recognition
Unifying Few- and Zero-Shot Egocentric Action Recognition
Tyler R. Scott
Michael Shvartsman
Karl Ridgeway
EgoV
20
1
0
27 May 2020
Speaker diarization with session-level speaker embedding refinement
  using graph neural networks
Speaker diarization with session-level speaker embedding refinement using graph neural networks
Jixuan Wang
Xiong Xiao
Jian Wu
Ranjani Ramamurthy
Frank Rudzicz
M. Brudno
17
25
0
22 May 2020
AC-VRNN: Attentive Conditional-VRNN for Multi-Future Trajectory
  Prediction
AC-VRNN: Attentive Conditional-VRNN for Multi-Future Trajectory Prediction
Alessia Bertugli
Simone Calderara
Pasquale Coscia
Lamberto Ballan
Rita Cucchiara
31
28
0
17 May 2020
DIABLO: Dictionary-based Attention Block for Deep Metric Learning
DIABLO: Dictionary-based Attention Block for Deep Metric Learning
Pierre Jacob
David Picard
A. Histace
Edouard Klein
11
1
0
30 Apr 2020
Sharing Matters for Generalization in Deep Metric Learning
Sharing Matters for Generalization in Deep Metric Learning
Timo Milbich
Karsten Roth
Biagio Brattoli
Bjorn Ommer
FedML
OOD
8
23
0
12 Apr 2020
Continuous Histogram Loss: Beyond Neural Similarity
Continuous Histogram Loss: Beyond Neural Similarity
Artem Zholus
E. Putin
11
2
0
06 Apr 2020
ProxyNCA++: Revisiting and Revitalizing Proxy Neighborhood Component
  Analysis
ProxyNCA++: Revisiting and Revitalizing Proxy Neighborhood Component Analysis
Eu Wern Teh
Terrance Devries
Graham W. Taylor
14
156
0
02 Apr 2020
A Metric Learning Reality Check
A Metric Learning Reality Check
Kevin Musgrave
Serge J. Belongie
Ser-Nam Lim
36
475
0
18 Mar 2020
Adaptive Semantic-Visual Tree for Hierarchical Embeddings
Adaptive Semantic-Visual Tree for Hierarchical Embeddings
Shuo Yang
Wei Yu
Ying Zheng
H. Yao
Tao Mei
33
16
0
08 Mar 2020
Embedding Expansion: Augmentation in Embedding Space for Deep Metric
  Learning
Embedding Expansion: Augmentation in Embedding Space for Deep Metric Learning
ByungSoo Ko
Geonmo Gu
85
53
0
05 Mar 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
7
850
0
25 Feb 2020
Revisiting Training Strategies and Generalization Performance in Deep
  Metric Learning
Revisiting Training Strategies and Generalization Performance in Deep Metric Learning
Karsten Roth
Timo Milbich
Samarth Sinha
Prateek Gupta
Bjorn Ommer
Joseph Paul Cohen
19
168
0
19 Feb 2020
CoLES: Contrastive Learning for Event Sequences with Self-Supervision
CoLES: Contrastive Learning for Event Sequences with Self-Supervision
Dmitrii Babaev
Ivan Kireev
Nikita Ovsov
Maria Ivanova
Gleb Gusev
Ivan Nazarov
Alexander Tuzhilin
SSL
AI4TS
12
26
0
19 Feb 2020
Improving Face Recognition from Hard Samples via Distribution
  Distillation Loss
Improving Face Recognition from Hard Samples via Distribution Distillation Loss
Y. Huang
Pengcheng Shen
Ying Tai
Shaoxin Li
Xiaoming Liu
Jilin Li
Feiyue Huang
Rongrong Ji
CVBM
34
1
0
10 Feb 2020
In Defense of the Triplet Loss Again: Learning Robust Person
  Re-Identification with Fast Approximated Triplet Loss and Label Distillation
In Defense of the Triplet Loss Again: Learning Robust Person Re-Identification with Fast Approximated Triplet Loss and Label Distillation
Ye Yuan
Wuyang Chen
Yang Yang
Zhangyang Wang
3DH
19
86
0
17 Dec 2019
Cross-Batch Memory for Embedding Learning
Cross-Batch Memory for Embedding Learning
Xun Wang
H. Zhang
Weilin Huang
Matthew R. Scott
25
247
0
14 Dec 2019
Instance Cross Entropy for Deep Metric Learning
Instance Cross Entropy for Deep Metric Learning
Xinshao Wang
Elyor Kodirov
Yang Hua
N. Robertson
19
5
0
22 Nov 2019
Ladder Loss for Coherent Visual-Semantic Embedding
Ladder Loss for Coherent Visual-Semantic Embedding
Mo Zhou
Zhenxing Niu
Le Wang
Zhanning Gao
Qilin Zhang
G. Hua
28
39
0
18 Nov 2019
Unsupervised Deep Metric Learning via Auxiliary Rotation Loss
Unsupervised Deep Metric Learning via Auxiliary Rotation Loss
Xuefei Cao
Bor-Chun Chen
Ser-Nam Lim
SSL
11
19
0
16 Nov 2019
Semantic Granularity Metric Learning for Visual Search
Semantic Granularity Metric Learning for Visual Search
Dipu Manandhar
M. Bastan
Kim-Hui Yap
19
11
0
14 Nov 2019
Metric Learning for Dynamic Text Classification
Metric Learning for Dynamic Text Classification
Jeremy Wohlwend
Ethan R. Elenberg
S. Altschul
Shawn Henry
Tao Lei
25
11
0
04 Nov 2019
Stochastic Prototype Embeddings
Stochastic Prototype Embeddings
Tyler R. Scott
Karl Ridgeway
Michael C. Mozer
BDL
UQCV
11
14
0
25 Sep 2019
MIC: Mining Interclass Characteristics for Improved Metric Learning
MIC: Mining Interclass Characteristics for Improved Metric Learning
Karsten Roth
Biagio Brattoli
Bjorn Ommer
14
89
0
25 Sep 2019
Deep Metric Learning with Density Adaptivity
Deep Metric Learning with Density Adaptivity
Yehao Li
Ting Yao
Yingwei Pan
Hongyang Chao
Tao Mei
22
11
0
09 Sep 2019
Adversarial Representation Learning for Text-to-Image Matching
Adversarial Representation Learning for Text-to-Image Matching
N. Sarafianos
Xiang Xu
I. Kakadiaris
GAN
41
185
0
28 Aug 2019
Embarrassingly Simple Binary Representation Learning
Embarrassingly Simple Binary Representation Learning
Yuming Shen
Jie Qin
Jiaxin Chen
Li Liu
Fan Zhu
10
21
0
26 Aug 2019
Metric Learning With HORDE: High-Order Regularizer for Deep Embeddings
Metric Learning With HORDE: High-Order Regularizer for Deep Embeddings
Pierre Jacob
David Picard
A. Histace
Edouard Klein
DML
25
59
0
07 Aug 2019
Learning Joint Acoustic-Phonetic Word Embeddings
Learning Joint Acoustic-Phonetic Word Embeddings
Mohamed El-Geish
DRL
SSL
8
2
0
01 Aug 2019
Deep Metric Learning with Alternating Projections onto Feasible Sets
Deep Metric Learning with Alternating Projections onto Feasible Sets
Ogul Can
Y. Z. Gürbüz
Aydin Alatan
22
5
0
17 Jul 2019
Searching for Apparel Products from Images in the Wild
Searching for Apparel Products from Images in the Wild
Son N. Tran
Ming-han Du
Sampath Chanda
R. Manmatha
C. Taylor
17
5
0
04 Jul 2019
Multiple-Identity Image Attacks Against Face-based Identity Verification
Multiple-Identity Image Attacks Against Face-based Identity Verification
Jerone T. A. Andrews
T. Tanay
Lewis D. Griffin
CVBM
AAML
11
9
0
20 Jun 2019
Learning with Average Precision: Training Image Retrieval with a
  Listwise Loss
Learning with Average Precision: Training Image Retrieval with a Listwise Loss
Jérôme Revaud
Jon Almazán
Rafael Sampaio de Rezende
César Roberto de Souza
VLM
25
367
0
18 Jun 2019
R2D2: Repeatable and Reliable Detector and Descriptor
R2D2: Repeatable and Reliable Detector and Descriptor
Jérôme Revaud
Philippe Weinzaepfel
César Roberto de Souza
Noé Pion
G. Csurka
Yohann Cabon
Martin Humenberger
25
472
0
14 Jun 2019
Divide and Conquer the Embedding Space for Metric Learning
Divide and Conquer the Embedding Space for Metric Learning
A. Sanakoyeu
Vadim Tschernezki
U. Büchler
Bjorn Ommer
SSL
21
107
0
14 Jun 2019
Efficient Codebook and Factorization for Second Order Representation
  Learning
Efficient Codebook and Factorization for Second Order Representation Learning
Pierre Jacob
David Picard
A. Histace
Edouard Klein
14
1
0
05 Jun 2019
Discriminative structural graph classification
Discriminative structural graph classification
Younjoo Seo
Andreas Loukas
Nathanael Perraudin
22
19
0
31 May 2019
How is Gaze Influenced by Image Transformations? Dataset and Model
How is Gaze Influenced by Image Transformations? Dataset and Model
Zhaohui Che
Ali Borji
Guangtao Zhai
Xiongkuo Min
G. Guo
P. Le Callet
24
76
0
16 May 2019
Deep Metric Learning Beyond Binary Supervision
Deep Metric Learning Beyond Binary Supervision
Sungyeon Kim
Minkyo Seo
Ivan Laptev
Minsu Cho
Suha Kwak
SSL
15
94
0
21 Apr 2019
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