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1611.00822
Cited By
Learning Deep Embeddings with Histogram Loss
2 November 2016
E. Ustinova
Victor Lempitsky
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Papers citing
"Learning Deep Embeddings with Histogram Loss"
50 / 159 papers shown
Title
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
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
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
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
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
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
A. Brown
Weidi Xie
Vicky Kalogeiton
Andrew Zisserman
44
163
0
23 Jul 2020
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
Angelo Porrello
Luca Bergamini
Simone Calderara
26
65
0
08 Jul 2020
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
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
Xin Jin
Cuiling Lan
Wenjun Zeng
Zhibo Chen
OOD
16
69
0
01 Jun 2020
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
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
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
Pierre Jacob
David Picard
A. Histace
Edouard Klein
11
1
0
30 Apr 2020
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
Artem Zholus
E. Putin
11
2
0
06 Apr 2020
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
Kevin Musgrave
Serge J. Belongie
Ser-Nam Lim
36
475
0
18 Mar 2020
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
ByungSoo Ko
Geonmo Gu
85
53
0
05 Mar 2020
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
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
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
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
Ye Yuan
Wuyang Chen
Yang Yang
Zhangyang Wang
3DH
19
86
0
17 Dec 2019
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
Xinshao Wang
Elyor Kodirov
Yang Hua
N. Robertson
19
5
0
22 Nov 2019
Ladder Loss for Coherent Visual-Semantic Embedding
Mo Zhou
Zhenxing Niu
Le Wang
Zhanning Gao
Qilin Zhang
G. Hua
25
39
0
18 Nov 2019
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
Dipu Manandhar
M. Bastan
Kim-Hui Yap
19
11
0
14 Nov 2019
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
Tyler R. Scott
Karl Ridgeway
Michael C. Mozer
BDL
UQCV
11
14
0
25 Sep 2019
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
Yehao Li
Ting Yao
Yingwei Pan
Hongyang Chao
Tao Mei
22
11
0
09 Sep 2019
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
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
Pierre Jacob
David Picard
A. Histace
Edouard Klein
DML
25
59
0
07 Aug 2019
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
Ogul Can
Y. Z. Gürbüz
Aydin Alatan
22
5
0
17 Jul 2019
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
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
Jérôme Revaud
Jon Almazán
Rafael Sampaio de Rezende
César Roberto de Souza
VLM
22
367
0
18 Jun 2019
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
A. Sanakoyeu
Vadim Tschernezki
U. Büchler
Bjorn Ommer
SSL
21
107
0
14 Jun 2019
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
Younjoo Seo
Andreas Loukas
Nathanael Perraudin
22
19
0
31 May 2019
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
Sungyeon Kim
Minkyo Seo
Ivan Laptev
Minsu Cho
Suha Kwak
SSL
15
94
0
21 Apr 2019
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