ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1703.07464
  4. Cited By
No Fuss Distance Metric Learning using Proxies
v1v2v3 (latest)

No Fuss Distance Metric Learning using Proxies

21 March 2017
Yair Movshovitz-Attias
Alexander Toshev
Thomas Leung
Sergey Ioffe
Saurabh Singh
ArXiv (abs)PDFHTML

Papers citing "No Fuss Distance Metric Learning using Proxies"

26 / 326 papers shown
Title
Composing Text and Image for Image Retrieval - An Empirical Odyssey
Composing Text and Image for Image Retrieval - An Empirical Odyssey
Nam S. Vo
Lu Jiang
Chen Sun
Kevin Patrick Murphy
Li Li
Li Fei-Fei
James Hays
CoGe
73
370
0
18 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
111
25
0
30 Nov 2018
Spectral Feature Transformation for Person Re-identification
Spectral Feature Transformation for Person Re-identification
Chuanchen Luo
Yuntao Chen
Naiyan Wang
Zhaoxiang Zhang
111
124
0
28 Nov 2018
Scalable Logo Recognition using Proxies
Scalable Logo Recognition using Proxies
István Fehérvári
Srikar Appalaraju
70
44
0
19 Nov 2018
Learning Embeddings for Product Visual Search with Triplet Loss and
  Online Sampling
Learning Embeddings for Product Visual Search with Triplet Loss and Online Sampling
Eric Dodds
Huy Nguyen
Simão Herdade
Jack Culpepper
Andrew Kae
Pierre Garrigues
DML
51
5
0
10 Oct 2018
Modeling Uncertainty with Hedged Instance Embedding
Modeling Uncertainty with Hedged Instance Embedding
Seong Joon Oh
Kevin Patrick Murphy
Jiyan Pan
Joseph Roth
Florian Schroff
Andrew C. Gallagher
UQCV
532
70
0
30 Sep 2018
DocFace+: ID Document to Selfie Matching
DocFace+: ID Document to Selfie Matching
Yichun Shi
Anil K. Jain
CVBM
100
34
0
15 Sep 2018
Heated-Up Softmax Embedding
Heated-Up Softmax Embedding
Xu-Yao Zhang
Felix X. Yu
Svebor Karaman
Wei Zhang
Shih-Fu Chang
63
46
0
11 Sep 2018
Deep Randomized Ensembles for Metric Learning
Deep Randomized Ensembles for Metric Learning
Hong Xuan
Richard Souvenir
Robert Pless
UQCVOOD
86
102
0
13 Aug 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
84
139
0
30 Jul 2018
Human Motion Analysis with Deep Metric Learning
Human Motion Analysis with Deep Metric Learning
Huseyin Coskun
D. Tan
Sailesh Conjeti
Nassir Navab
Federico Tombari
93
50
0
30 Jul 2018
GeoDesc: Learning Local Descriptors by Integrating Geometry Constraints
GeoDesc: Learning Local Descriptors by Integrating Geometry Constraints
Zixin Luo
Tianwei Shen
Lei Zhou
Siyu Zhu
Runze Zhang
Yao Yao
Tian Fang
Long Quan
3DV
98
176
0
17 Jul 2018
Impostor Networks for Fast Fine-Grained Recognition
Impostor Networks for Fast Fine-Grained Recognition
V. Lebedev
Artem Babenko
Victor Lempitsky
21
3
0
13 Jun 2018
ALMN: Deep Embedding Learning with Geometrical Virtual Point Generating
ALMN: Deep Embedding Learning with Geometrical Virtual Point Generating
Binghui Chen
Weihong Deng
64
7
0
04 Jun 2018
Large-scale Distance Metric Learning with Uncertainty
Large-scale Distance Metric Learning with Uncertainty
Qi Qian
Jiasheng Tang
Hao Li
Shenghuo Zhu
Rong Jin
73
22
0
25 May 2018
Semantic Cluster Unary Loss for Efficient Deep Hashing
Semantic Cluster Unary Loss for Efficient Deep Hashing
Shifeng Zhang
Jianmin Li
Bo Zhang
23
12
0
15 May 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
93
227
0
02 Apr 2018
Mining on Manifolds: Metric Learning without Labels
Mining on Manifolds: Metric Learning without Labels
Ahmet Iscen
Giorgos Tolias
Yannis Avrithis
Ondřej Chum
SSL
91
114
0
29 Mar 2018
Generalization in Metric Learning: Should the Embedding Layer be the
  Embedding Layer?
Generalization in Metric Learning: Should the Embedding Layer be the Embedding Layer?
Nam S. Vo
James Hays
70
33
0
08 Mar 2018
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
Jiankang Deng
Jiaxin Guo
J. Yang
Niannan Xue
I. Kotsia
Stefanos Zafeiriou
CVBM
94
220
0
23 Jan 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
FedMLOOD
100
166
0
15 Jan 2018
Low-Shot Learning with Imprinted Weights
Low-Shot Learning with Imprinted Weights
Qi
Matthew A. Brown
D. Lowe
VLM
59
12
0
19 Dec 2017
ADVISE: Symbolism and External Knowledge for Decoding Advertisements
ADVISE: Symbolism and External Knowledge for Decoding Advertisements
Keren Ye
Adriana Kovashka
79
51
0
17 Nov 2017
Learning Non-Metric Visual Similarity for Image Retrieval
Learning Non-Metric Visual Similarity for Image Retrieval
Noa Garcia
George Vogiatzis
44
37
0
05 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
65
143
0
21 Aug 2017
Smart Mining for Deep Metric Learning
Smart Mining for Deep Metric Learning
Ben Harwood
B. V. Kumar
G. Carneiro
Ian Reid
Tom Drummond
105
350
0
05 Apr 2017
Previous
1234567