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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
A Theoretically Sound Upper Bound on the Triplet Loss for Improving the
  Efficiency of Deep Distance Metric Learning
A Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric Learning
Thanh-Toan Do
Toan M. Tran
Ian Reid
B. V. Kumar
Tuan Hoang
G. Carneiro
20
66
0
18 Apr 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
17
738
0
14 Apr 2019
Person Re-identification with Metric Learning using Privileged
  Information
Person Re-identification with Metric Learning using Privileged Information
Xun Yang
Hao Wu
Dacheng Tao
11
168
0
10 Apr 2019
Signal-to-Noise Ratio: A Robust Distance Metric for Deep Metric Learning
Signal-to-Noise Ratio: A Robust Distance Metric for Deep Metric Learning
Tongtong Yuan
Weihong Deng
Jian Tang
Yinan Tang
Binghui Chen
9
71
0
04 Apr 2019
Hyperbolic Image Embeddings
Hyperbolic Image Embeddings
Valentin Khrulkov
L. Mirvakhabova
E. Ustinova
Ivan V. Oseledets
Victor Lempitsky
14
282
0
03 Apr 2019
Hardness-Aware Deep Metric Learning
Hardness-Aware Deep Metric Learning
Wenzhao Zheng
Zhaodong Chen
Jiwen Lu
Jie Zhou
23
171
0
13 Mar 2019
Ranked List Loss for Deep Metric Learning
Ranked List Loss for Deep Metric Learning
Xinshao Wang
Yang Hua
Elyor Kodirov
N. Robertson
26
246
0
08 Mar 2019
Multi-views Embedding for Cattle Re-identification
Multi-views Embedding for Cattle Re-identification
Luca Bergamini
Angelo Porrello
A. C. Dondona
Ercole Del Negro
M. Mattioli
N. D’Alterio
Simone Calderara
8
30
0
13 Feb 2019
Robust Angular Local Descriptor Learning
Robust Angular Local Descriptor Learning
Yanwu Xu
Biwei Huang
Tongliang Liu
Kayhan Batmanghelich
Chaohui Wang
11
4
0
21 Jan 2019
Visualizing Deep Similarity Networks
Visualizing Deep Similarity Networks
Abby Stylianou
Richard Souvenir
Robert Pless
FAtt
15
55
0
02 Jan 2019
Deep Embedding using Bayesian Risk Minimization with Application to
  Sketch Recognition
Deep Embedding using Bayesian Risk Minimization with Application to Sketch Recognition
Anand Mishra
A. Singh
BDL
UQCV
16
4
0
06 Dec 2018
Classification is a Strong Baseline for Deep Metric Learning
Classification is a Strong Baseline for Deep Metric Learning
Andrew Zhai
Hao Wu
VLM
32
25
0
30 Nov 2018
Matchable Image Retrieval by Learning from Surface Reconstruction
Matchable Image Retrieval by Learning from Surface Reconstruction
Tianwei Shen
Zixin Luo
Lei Zhou
Runze Zhang
Siyu Zhu
Tian Fang
Long Quan
3DV
11
49
0
26 Nov 2018
Batch DropBlock Network for Person Re-identification and Beyond
Batch DropBlock Network for Person Re-identification and Beyond
Zuozhuo Dai
Mingqiang Chen
Xiaodong Gu
Siyu Zhu
Ping Tan
OOD
8
246
0
17 Nov 2018
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
Deep Metric Learning with Hierarchical Triplet Loss
Deep Metric Learning with Hierarchical Triplet Loss
Weifeng Ge
Weilin Huang
Dengke Dong
Matthew R. Scott
17
412
0
16 Oct 2018
Constructing Graph Node Embeddings via Discrimination of Similarity
  Distributions
Constructing Graph Node Embeddings via Discrimination of Similarity Distributions
Stanislav Tsepa
Maxim Panov
11
1
0
06 Oct 2018
Open-Ended Content-Style Recombination Via Leakage Filtering
Open-Ended Content-Style Recombination Via Leakage Filtering
Karl Ridgeway
Michael C. Mozer
DRL
VLM
14
2
0
28 Sep 2018
Automatic Dataset Annotation to Learn CNN Pore Description for
  Fingerprint Recognition
Automatic Dataset Annotation to Learn CNN Pore Description for Fingerprint Recognition
Gabriel Dahia
Maurício Pamplona Segundo
CVBM
11
5
0
26 Sep 2018
Heated-Up Softmax Embedding
Heated-Up Softmax Embedding
Xu-Yao Zhang
Felix X. Yu
Svebor Karaman
Wei Zhang
Shih-Fu Chang
18
44
0
11 Sep 2018
Unsupervised Person Re-identification by Deep Learning Tracklet
  Association
Unsupervised Person Re-identification by Deep Learning Tracklet Association
Minxian Li
Xiatian Zhu
S. Gong
11
227
0
08 Sep 2018
Metric Learning for Novelty and Anomaly Detection
Metric Learning for Novelty and Anomaly Detection
Marc Masana
Idoia Ruiz
J. Serrat
Joost van de Weijer
Antonio M. López
OODD
17
80
0
16 Aug 2018
Deep Randomized Ensembles for Metric Learning
Deep Randomized Ensembles for Metric Learning
Hong Xuan
Richard Souvenir
Robert Pless
UQCV
OOD
34
102
0
13 Aug 2018
Comparator Networks
Comparator Networks
Weidi Xie
Li Shen
Andrew Zisserman
CoGe
11
76
0
30 Jul 2018
Predicting Conversion of Mild Cognitive Impairments to Alzheimer's
  Disease and Exploring Impact of Neuroimaging
Predicting Conversion of Mild Cognitive Impairments to Alzheimer's Disease and Exploring Impact of Neuroimaging
Yaroslav Shmulev
Mikhail Belyaev
MedIm
11
27
0
30 Jul 2018
From handcrafted to deep local features
From handcrafted to deep local features
G. Csurka
C. Dance
Martin Humenberger
13
23
0
26 Jul 2018
Discriminative Feature Learning with Foreground Attention for Person
  Re-Identification
Discriminative Feature Learning with Foreground Attention for Person Re-Identification
Sanping Zhou
Jinjun Wang
Deyu Meng
Yudong Liang
Yihong Gong
N. Zheng
CVBM
13
60
0
04 Jul 2018
High Diversity Attribute Guided Face Generation with GANs
High Diversity Attribute Guided Face Generation with GANs
Evgeny Izutov
CVBM
GAN
16
0
0
28 Jun 2018
Adapted Deep Embeddings: A Synthesis of Methods for $k$-Shot Inductive
  Transfer Learning
Adapted Deep Embeddings: A Synthesis of Methods for kkk-Shot Inductive Transfer Learning
Tyler R. Scott
Karl Ridgeway
Michael C. Mozer
16
84
0
22 May 2018
An Evaluation of Deep CNN Baselines for Scene-Independent Person
  Re-Identification
An Evaluation of Deep CNN Baselines for Scene-Independent Person Re-Identification
P. Marchwica
Michael Jamieson
P. Siva
3DPC
BDL
22
6
0
16 May 2018
On Learning Associations of Faces and Voices
On Learning Associations of Faces and Voices
Changil Kim
Hijung Valentina Shin
Tae-Hyun Oh
Alexandre Kaspar
Mohamed A. Elgharib
Wojciech Matusik
CVBM
6
83
0
15 May 2018
Imbalanced Deep Learning by Minority Class Incremental Rectification
Imbalanced Deep Learning by Minority Class Incremental Rectification
Qi Dong
S. Gong
Xiatian Zhu
19
325
0
28 Apr 2018
Local Descriptors Optimized for Average Precision
Local Descriptors Optimized for Average Precision
Kun He
Yan Lu
Stan Sclaroff
6
193
0
15 Apr 2018
Attention-based Ensemble for Deep Metric Learning
Attention-based Ensemble for Deep Metric Learning
Wonsik Kim
Bhavya Goyal
Kunal Chawla
Jungmin Lee
Keunjoo Kwon
FedML
17
226
0
02 Apr 2018
Learning Beyond Human Expertise with Generative Models for Dental
  Restorations
Learning Beyond Human Expertise with Generative Models for Dental Restorations
Jyh-Jing Hwang
S. Azernikov
Alexei A. Efros
Stella X. Yu
MedIm
12
33
0
30 Mar 2018
Learning View-Specific Deep Networks for Person Re-Identification
Learning View-Specific Deep Networks for Person Re-Identification
Zhanxiang Feng
Jianhuang Lai
Xiaohua Xie
25
64
0
30 Mar 2018
Mining on Manifolds: Metric Learning without Labels
Mining on Manifolds: Metric Learning without Labels
Ahmet Iscen
Giorgos Tolias
Yannis Avrithis
Ondřej Chum
SSL
16
114
0
29 Mar 2018
Unsupervised Cross-dataset Person Re-identification by Transfer Learning
  of Spatial-Temporal Patterns
Unsupervised Cross-dataset Person Re-identification by Transfer Learning of Spatial-Temporal Patterns
Jianming Lv
Weihang Chen
Qing Li
Can Yang
12
178
0
20 Mar 2018
Hashing with Mutual Information
Hashing with Mutual Information
Fatih Çakir
Kun He
Sarah Adel Bargal
Stan Sclaroff
SSL
16
99
0
02 Mar 2018
Multi-Observation Regression
Multi-Observation Regression
Rafael M. Frongillo
Nishant A. Mehta
Tom Morgan
Bo Waggoner
OOD
11
1
0
27 Feb 2018
Learning Deep Disentangled Embeddings with the F-Statistic Loss
Learning Deep Disentangled Embeddings with the F-Statistic Loss
Karl Ridgeway
Michael C. Mozer
FedML
DRL
CoGe
14
216
0
14 Feb 2018
Deep Metric Learning with BIER: Boosting Independent Embeddings Robustly
Deep Metric Learning with BIER: Boosting Independent Embeddings Robustly
M. Opitz
Georg Waltner
Horst Possegger
Horst Bischof
FedML
OOD
32
166
0
15 Jan 2018
Class Rectification Hard Mining for Imbalanced Deep Learning
Class Rectification Hard Mining for Imbalanced Deep Learning
Qi Dong
S. Gong
Xiatian Zhu
11
197
0
08 Dec 2017
Learning Compact Geometric Features
Learning Compact Geometric Features
Marc Khoury
Qian-Yi Zhou
V. Koltun
3DPC
40
198
0
15 Sep 2017
Learning Spread-out Local Feature Descriptors
Learning Spread-out Local Feature Descriptors
Xu-Yao Zhang
Felix X. Yu
Sanjiv Kumar
Shih-Fu Chang
9
141
0
21 Aug 2017
Deep Metric Learning with Angular Loss
Deep Metric Learning with Angular Loss
Jian Wang
Feng Zhou
Shilei Wen
Xiao-Chang Liu
Yuanqing Lin
DML
24
500
0
04 Aug 2017
Scalable and Effective Deep CCA via Soft Decorrelation
Scalable and Effective Deep CCA via Soft Decorrelation
Xiaobin Chang
Tao Xiang
Timothy M. Hospedales
19
3
0
30 Jul 2017
Deep Reinforcement Learning Attention Selection for Person
  Re-Identification
Deep Reinforcement Learning Attention Selection for Person Re-Identification
Xu Lan
Hanxiao Wang
S. Gong
Xiatian Zhu
16
6
0
10 Jul 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
Deep Adaptive Feature Embedding with Local Sample Distributions for
  Person Re-identification
Deep Adaptive Feature Embedding with Local Sample Distributions for Person Re-identification
Lin Wu
Yang Wang
Junbin Gao
Xue Li
18
162
0
10 Jun 2017
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