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Deep Metric Learning with Angular Loss

Deep Metric Learning with Angular Loss

4 August 2017
Jian Wang
Feng Zhou
Shilei Wen
Xiao-Chang Liu
Yuanqing Lin
    DML
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Papers citing "Deep Metric Learning with Angular Loss"

44 / 94 papers shown
Title
Robust Re-Identification by Multiple Views Knowledge Distillation
Robust Re-Identification by Multiple Views Knowledge Distillation
Angelo Porrello
Luca Bergamini
Simone Calderara
32
65
0
08 Jul 2020
Deep Divergence Learning
Deep Divergence Learning
Kubra Cilingir
Rachel Manzelli
Brian Kulis
27
13
0
06 May 2020
In defence of metric learning for speaker recognition
In defence of metric learning for speaker recognition
Joon Son Chung
Jaesung Huh
Seongkyu Mun
Minjae Lee
Hee-Soo Heo
Soyeon Choe
Chiheon Ham
Sung-Ye Jung
Bong-Jin Lee
Icksang Han
32
433
0
26 Mar 2020
A unifying mutual information view of metric learning: cross-entropy vs.
  pairwise losses
A unifying mutual information view of metric learning: cross-entropy vs. pairwise losses
Malik Boudiaf
Jérôme Rony
Imtiaz Masud Ziko
Eric Granger
M. Pedersoli
Pablo Piantanida
Ismail Ben Ayed
SSL
26
158
0
19 Mar 2020
A Metric Learning Reality Check
A Metric Learning Reality Check
Kevin Musgrave
Serge J. Belongie
Ser-Nam Lim
59
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
38
16
0
08 Mar 2020
Affinity guided Geometric Semi-Supervised Metric Learning
Affinity guided Geometric Semi-Supervised Metric Learning
U. Dutta
Mehrtash Harandi
C. Sekhar
22
2
0
27 Feb 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
35
852
0
25 Feb 2020
Informative Sample Mining Network for Multi-Domain Image-to-Image
  Translation
Informative Sample Mining Network for Multi-Domain Image-to-Image Translation
Jie Cao
Huaibo Huang
Yi Li
Ran He
Zhenan Sun
18
7
0
05 Jan 2020
Statistical Loss and Analysis for Deep Learning in Hyperspectral Image
  Classification
Statistical Loss and Analysis for Deep Learning in Hyperspectral Image Classification
Z. Gong
P. Zhong
Weidong Hu
16
49
0
28 Dec 2019
Deep Manifold Embedding for Hyperspectral Image Classification
Deep Manifold Embedding for Hyperspectral Image Classification
Z. Gong
Weidong Hu
Xiaoyong Du
P. Zhong
Panhe Hu
29
27
0
24 Dec 2019
A Simple and Effective Framework for Pairwise Deep Metric Learning
A Simple and Effective Framework for Pairwise Deep Metric Learning
Qi Qi
Yan Yan
Xiaoyu Wang
Tianbao Yang
25
26
0
24 Dec 2019
A Probabilistic approach for Learning Embeddings without Supervision
A Probabilistic approach for Learning Embeddings without Supervision
U. Dutta
Mehrtash Harandi
C. Sekhar
SSL
41
0
0
17 Dec 2019
The Group Loss for Deep Metric Learning
The Group Loss for Deep Metric Learning
Ismail Elezi
Sebastiano Vascon
Alessandro Torcinovich
Marcello Pelillo
Laura Leal-Taixe
22
50
0
01 Dec 2019
Stochastic Prototype Embeddings
Stochastic Prototype Embeddings
Tyler R. Scott
Karl Ridgeway
Michael C. Mozer
BDL
UQCV
13
14
0
25 Sep 2019
Deep Metric Learning using Similarities from Nonlinear Rank
  Approximations
Deep Metric Learning using Similarities from Nonlinear Rank Approximations
Konstantin Schall
Kai Uwe Barthel
Nico Hezel
Klaus Jung
DML
23
3
0
20 Sep 2019
Metric Learning for Adversarial Robustness
Metric Learning for Adversarial Robustness
Chengzhi Mao
Ziyuan Zhong
Junfeng Yang
Carl Vondrick
Baishakhi Ray
OOD
27
184
0
03 Sep 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
30
59
0
07 Aug 2019
Hybrid-Attention based Decoupled Metric Learning for Zero-Shot Image
  Retrieval
Hybrid-Attention based Decoupled Metric Learning for Zero-Shot Image Retrieval
Binghui Chen
Weihong Deng
VLM
FedML
26
55
0
27 Jul 2019
Pedestrian Tracking by Probabilistic Data Association and Correspondence
  Embeddings
Pedestrian Tracking by Probabilistic Data Association and Correspondence Embeddings
Borna Bićanić
Marin Orsic
Ivan Marković
Sinisa Segvic
Ivan Petrović
24
5
0
16 Jul 2019
Learning a Joint Embedding Space of Monophonic and Mixed Music Signals
  for Singing Voice
Learning a Joint Embedding Space of Monophonic and Mixed Music Signals for Singing Voice
Kyungyun Lee
Juhan Nam
11
18
0
26 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
32
107
0
14 Jun 2019
Efficient Object Embedding for Spliced Image Retrieval
Efficient Object Embedding for Spliced Image Retrieval
Bor-Chun Chen
Zuxuan Wu
L. Davis
Ser-Nam Lim
32
8
0
28 May 2019
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
28
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
31
739
0
14 Apr 2019
Relational Knowledge Distillation
Relational Knowledge Distillation
Wonpyo Park
Dongju Kim
Yan Lu
Minsu Cho
16
1,387
0
10 Apr 2019
Point Cloud Oversegmentation with Graph-Structured Deep Metric Learning
Point Cloud Oversegmentation with Graph-Structured Deep Metric Learning
Loic Landrieu
Mohamed Boussaha
3DPC
25
150
0
03 Apr 2019
Lending Orientation to Neural Networks for Cross-view Geo-localization
Lending Orientation to Neural Networks for Cross-view Geo-localization
Liu Liu
Hongdong Li
27
241
0
29 Mar 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
Image-Based Geo-Localization Using Satellite Imagery
Image-Based Geo-Localization Using Satellite Imagery
Sixing Hu
Gim Hee Lee
11
62
0
01 Mar 2019
Robust Re-identification of Manta Rays from Natural Markings by Learning
  Pose Invariant Embeddings
Robust Re-identification of Manta Rays from Natural Markings by Learning Pose Invariant Embeddings
Olga Moskvyak
Frederic Maire
A. Armstrong
Feras Dayoub
Mahsa Baktash
22
37
0
28 Feb 2019
Energy Confused Adversarial Metric Learning for Zero-Shot Image
  Retrieval and Clustering
Energy Confused Adversarial Metric Learning for Zero-Shot Image Retrieval and Clustering
Binghui Chen
Weihong Deng
31
29
0
22 Jan 2019
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
30
80
0
16 Aug 2018
Learning Neural Models for End-to-End Clustering
Learning Neural Models for End-to-End Clustering
B. Meier
Ismail Elezi
Mohammadreza Amirian
Oliver Durr
Thilo Stadelmann
SSL
22
16
0
11 Jul 2018
RepMet: Representative-based metric learning for classification and
  one-shot object detection
RepMet: Representative-based metric learning for classification and one-shot object detection
Leonid Karlinsky
J. Shtok
Sivan Harary
Eli Schwartz
Mattias Marder
Rogerio Feris
Raja Giryes
A. Bronstein
VLM
ObjD
20
318
0
12 Jun 2018
ALMN: Deep Embedding Learning with Geometrical Virtual Point Generating
ALMN: Deep Embedding Learning with Geometrical Virtual Point Generating
Binghui Chen
Weihong Deng
24
7
0
04 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
24
84
0
22 May 2018
Homocentric Hypersphere Feature Embedding for Person Re-identification
Homocentric Hypersphere Feature Embedding for Person Re-identification
Wangmeng Xiang
Jianqiang Huang
Xianbiao Qi
Xiansheng Hua
Lei Zhang
19
13
0
24 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
30
226
0
02 Apr 2018
Text2Shape: Generating Shapes from Natural Language by Learning Joint
  Embeddings
Text2Shape: Generating Shapes from Natural Language by Learning Joint Embeddings
Kevin Chen
Chris Choy
Manolis Savva
Angel X. Chang
Thomas Funkhouser
Silvio Savarese
3DV
32
247
0
22 Mar 2018
Triplet-Center Loss for Multi-View 3D Object Retrieval
Triplet-Center Loss for Multi-View 3D Object Retrieval
Xinwei He
Yang Zhou
Zhichao Zhou
S. Bai
X. Bai
3DPC
27
329
0
16 Mar 2018
Geometry-Contrastive GAN for Facial Expression Transfer
Geometry-Contrastive GAN for Facial Expression Transfer
Fengchun Qiao
Nai-Ming Yao
Zirui Jiao
Zhihao Li
Hui Chen
Hongan Wang
CVBM
GAN
29
51
0
06 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
34
166
0
15 Jan 2018
Answering Visual-Relational Queries in Web-Extracted Knowledge Graphs
Answering Visual-Relational Queries in Web-Extracted Knowledge Graphs
Daniel Oñoro-Rubio
Mathias Niepert
Alberto García-Durán
Roberto Gonzalez
Roberto J. López-Sastre
27
15
0
07 Sep 2017
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