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Multi-Similarity Loss with General Pair Weighting for Deep Metric
  Learning

Multi-Similarity Loss with General Pair Weighting for Deep Metric Learning

14 April 2019
Xun Wang
Xintong Han
Weilin Huang
Dengke Dong
Matthew R. Scott
ArXivPDFHTML

Papers citing "Multi-Similarity Loss with General Pair Weighting for Deep Metric Learning"

33 / 33 papers shown
Title
Locality-Sensitive Hashing for Efficient Hard Negative Sampling in Contrastive Learning
Locality-Sensitive Hashing for Efficient Hard Negative Sampling in Contrastive Learning
Fabian Deuser
Philipp Hausenblas
Hannah Schieber
Daniel Roth
Martin Werner
Norbert Oswald
157
0
0
23 May 2025
Adversarial Deep Metric Learning for Cross-Modal Audio-Text Alignment in Open-Vocabulary Keyword Spotting
Adversarial Deep Metric Learning for Cross-Modal Audio-Text Alignment in Open-Vocabulary Keyword Spotting
Youngmoon Jung
Yong-Hyeok Lee
Myunghun Jung
Jaeyoung Roh
Chang Woo Han
Hoon-Young Cho
48
0
0
22 May 2025
Focus on Local: Finding Reliable Discriminative Regions for Visual Place Recognition
Focus on Local: Finding Reliable Discriminative Regions for Visual Place Recognition
Changwei Wang
Shunpeng Chen
Yukun Song
Rongtao Xu
Zherui Zhang
...
Shide Du
Zhiwei Xu
Longxiang Gao
Li Guo
Shibiao Xu
49
2
0
14 Apr 2025
Enhancing Sample Utilization in Noise-Robust Deep Metric Learning With Subgroup-Based Positive-Pair Selection
Enhancing Sample Utilization in Noise-Robust Deep Metric Learning With Subgroup-Based Positive-Pair Selection
Zhipeng Yu
Qianqian Xu
Yangbangyan Jiang
Yingfei Sun
Qingming Huang
NoLa
107
0
0
19 Jan 2025
EDTformer: An Efficient Decoder Transformer for Visual Place Recognition
EDTformer: An Efficient Decoder Transformer for Visual Place Recognition
Tong Jin
Feng Lu
Shuyu Hu
Chun Yuan
Yunpeng Liu
ViT
106
0
0
01 Dec 2024
Is Contrasting All You Need? Contrastive Learning for the Detection and Attribution of AI-generated Text
Is Contrasting All You Need? Contrastive Learning for the Detection and Attribution of AI-generated Text
Lucio La Cava
Davide Costa
Andrea Tagarelli
DeLMO
72
3
0
12 Jul 2024
Potential Field Based Deep Metric Learning
Potential Field Based Deep Metric Learning
Shubhang Bhatnagar
Narendra Ahuja
74
1
0
28 May 2024
Deep Metric Learning with Hierarchical Triplet Loss
Deep Metric Learning with Hierarchical Triplet Loss
Weifeng Ge
Weilin Huang
Dengke Dong
Matthew R. Scott
144
413
0
16 Oct 2018
A Zero-Shot Framework for Sketch-based Image Retrieval
A Zero-Shot Framework for Sketch-based Image Retrieval
Sasi Kiran Yelamarthi
M. K. Reddy
Ashish Mishra
Anurag Mittal
132
186
0
31 Jul 2018
Hard-Aware Point-to-Set Deep Metric for Person Re-identification
Hard-Aware Point-to-Set Deep Metric for Person Re-identification
Rui Yu
Zhiyong Dou
S. Bai
Zhaoxiang Zhang
Yongchao Xu
X. Bai
61
139
0
30 Jul 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
68
227
0
02 Apr 2018
3D Pose Estimation and 3D Model Retrieval for Objects in the Wild
3D Pose Estimation and 3D Model Retrieval for Objects in the Wild
Alexander Grabner
P. Roth
Vincent Lepetit
3DV
74
137
0
30 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
55
330
0
16 Mar 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
77
166
0
15 Jan 2018
MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks
  on Corrupted Labels
MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks on Corrupted Labels
Lu Jiang
Zhengyuan Zhou
Thomas Leung
Li Li
Li Fei-Fei
NoLa
93
1,450
0
14 Dec 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
70
504
0
04 Aug 2017
Sampling Matters in Deep Embedding Learning
Sampling Matters in Deep Embedding Learning
Chaoxia Wu
R. Manmatha
Alex Smola
Philipp Krahenbuhl
92
922
0
23 Jun 2017
Active Bias: Training More Accurate Neural Networks by Emphasizing High
  Variance Samples
Active Bias: Training More Accurate Neural Networks by Emphasizing High Variance Samples
Haw-Shiuan Chang
Erik Learned-Miller
Andrew McCallum
73
352
0
24 Apr 2017
Smart Mining for Deep Metric Learning
Smart Mining for Deep Metric Learning
Ben Harwood
B. V. Kumar
G. Carneiro
Ian Reid
Tom Drummond
55
350
0
05 Apr 2017
In Defense of the Triplet Loss for Person Re-Identification
In Defense of the Triplet Loss for Person Re-Identification
Alexander Hermans
Lucas Beyer
Bastian Leibe
DML
73
3,200
0
22 Mar 2017
No Fuss Distance Metric Learning using Proxies
No Fuss Distance Metric Learning using Proxies
Yair Movshovitz-Attias
Alexander Toshev
Thomas Leung
Sergey Ioffe
Saurabh Singh
80
640
0
21 Mar 2017
Learning Deep Embeddings with Histogram Loss
Learning Deep Embeddings with Histogram Loss
E. Ustinova
Victor Lempitsky
101
351
0
02 Nov 2016
Improving Semantic Embedding Consistency by Metric Learning for
  Zero-Shot Classification
Improving Semantic Embedding Consistency by Metric Learning for Zero-Shot Classification
Max Bucher
Stéphane Herbin
F. Jurie
VLM
60
213
0
27 Jul 2016
Siamese Instance Search for Tracking
Siamese Instance Search for Tracking
Ran Tao
E. Gavves
A. Smeulders
44
595
0
19 May 2016
Learning by tracking: Siamese CNN for robust target association
Learning by tracking: Siamese CNN for robust target association
Laura Leal-Taixé
Cristian Canton Ferrer
Konrad Schindler
51
427
0
26 Apr 2016
Deep Metric Learning via Lifted Structured Feature Embedding
Deep Metric Learning via Lifted Structured Feature Embedding
Hyun Oh Song
Yu Xiang
Stefanie Jegelka
Silvio Savarese
FedML
SSL
DML
89
1,641
0
19 Nov 2015
Zero-Shot Learning via Joint Latent Similarity Embedding
Zero-Shot Learning via Joint Latent Similarity Embedding
Ziming Zhang
Venkatesh Saligrama
58
354
0
14 Nov 2015
FaceNet: A Unified Embedding for Face Recognition and Clustering
FaceNet: A Unified Embedding for Face Recognition and Clustering
Florian Schroff
Dmitry Kalenichenko
James Philbin
3DH
330
13,123
0
12 Mar 2015
Learning Descriptors for Object Recognition and 3D Pose Estimation
Learning Descriptors for Object Recognition and 3D Pose Estimation
Paul Wohlhart
Vincent Lepetit
57
448
0
20 Feb 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
415
43,234
0
11 Feb 2015
Deep metric learning using Triplet network
Deep metric learning using Triplet network
Elad Hoffer
Nir Ailon
SSL
DML
168
1,992
0
20 Dec 2014
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
1.4K
39,472
0
01 Sep 2014
Deep Metric Learning for Practical Person Re-Identification
Deep Metric Learning for Practical Person Re-Identification
Dong Yi
Zhen Lei
Stan Z. Li
69
168
0
18 Jul 2014
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