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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"

50 / 326 papers shown
Title
Improving Deep Metric Learning by Divide and Conquer
Improving Deep Metric Learning by Divide and Conquer
A. Sanakoyeu
Pingchuan Ma
Vadim Tschernezki
Bjorn Ommer
95
14
0
09 Sep 2021
Recall@k Surrogate Loss with Large Batches and Similarity Mixup
Recall@k Surrogate Loss with Large Batches and Similarity Mixup
Yash J. Patel
Giorgos Tolias
Jirí Matas
VLM
87
56
0
25 Aug 2021
Deep Relational Metric Learning
Deep Relational Metric Learning
Wenzhao Zheng
Borui Zhang
Jiwen Lu
Jie Zhou
103
43
0
23 Aug 2021
LoOp: Looking for Optimal Hard Negative Embeddings for Deep Metric
  Learning
LoOp: Looking for Optimal Hard Negative Embeddings for Deep Metric Learning
Bhavya Vasudeva
Puneesh Deora
Saumik Bhattacharya
Umapada Pal
S. Chanda
68
15
0
20 Aug 2021
Temporal Action Segmentation with High-level Complex Activity Labels
Temporal Action Segmentation with High-level Complex Activity Labels
Guodong Ding
Angela Yao
77
18
0
15 Aug 2021
Towards Interpretable Deep Metric Learning with Structural Matching
Towards Interpretable Deep Metric Learning with Structural Matching
Wenliang Zhao
Yongming Rao
Ziyi Wang
Jiwen Lu
Jie Zhou
FedML
68
47
0
12 Aug 2021
Billion-Scale Pretraining with Vision Transformers for Multi-Task Visual
  Representations
Billion-Scale Pretraining with Vision Transformers for Multi-Task Visual Representations
Josh Beal
Hao Wu
Dong Huk Park
Andrew Zhai
Dmitry Kislyuk
ViT
55
30
0
12 Aug 2021
ASMR: Learning Attribute-Based Person Search with Adaptive Semantic
  Margin Regularizer
ASMR: Learning Attribute-Based Person Search with Adaptive Semantic Margin Regularizer
Boseung Jeong
Jicheol Park
Suha Kwak
138
23
0
10 Aug 2021
Dynamic Relevance Learning for Few-Shot Object Detection
Dynamic Relevance Learning for Few-Shot Object Detection
Weijie Liu
Chong Wang
Haohe Li
Shenghao Yu
Xiaogang Xu
ObjD
92
10
0
04 Aug 2021
Noise-Resistant Deep Metric Learning with Probabilistic Instance
  Filtering
Noise-Resistant Deep Metric Learning with Probabilistic Instance Filtering
Chang-rui Liu
Han Yu
Boyang Albert Li
Zhiqi Shen
Zhanning Gao
Peiran Ren
Xuansong Xie
Li-zhen Cui
Chunyan Miao
NoLa
64
0
0
03 Aug 2021
Bridging Gap between Image Pixels and Semantics via Supervision: A
  Survey
Bridging Gap between Image Pixels and Semantics via Supervision: A Survey
Jiali Duan
C.-C. Jay Kuo
96
8
0
29 Jul 2021
Characterizing Generalization under Out-Of-Distribution Shifts in Deep
  Metric Learning
Characterizing Generalization under Out-Of-Distribution Shifts in Deep Metric Learning
Timo Milbich
Karsten Roth
Samarth Sinha
Ludwig Schmidt
Marzyeh Ghassemi
Bjorn Ommer
OODOODD
116
22
0
20 Jul 2021
Unsupervised Proxy Selection for Session-based Recommender Systems
Unsupervised Proxy Selection for Session-based Recommender Systems
Junsu Cho
SeongKu Kang
Dongmin Hyun
Hwanjo Yu
89
22
0
08 Jul 2021
Ensemble of Loss Functions to Improve Generalizability of Deep Metric
  Learning methods
Ensemble of Loss Functions to Improve Generalizability of Deep Metric Learning methods
Davood Zabihzadeh
Zahraa Alitbi
Seyed Jalaleddin Mousavirad
FedML
122
6
0
02 Jul 2021
Hotel Recognition via Latent Image Embedding
Hotel Recognition via Latent Image Embedding
B. Tseytlin
Ilya Makarov
DMLSSL
56
9
0
15 Jun 2021
Self-Supervised Metric Learning in Multi-View Data: A Downstream Task
  Perspective
Self-Supervised Metric Learning in Multi-View Data: A Downstream Task Perspective
Shulei Wang
SSL
60
3
0
14 Jun 2021
Atlas Based Representation and Metric Learning on Manifolds
Atlas Based Representation and Metric Learning on Manifolds
Eric O. Korman
26
3
0
13 Jun 2021
A Framework to Enhance Generalization of Deep Metric Learning methods
  using General Discriminative Feature Learning and Class Adversarial Neural
  Networks
A Framework to Enhance Generalization of Deep Metric Learning methods using General Discriminative Feature Learning and Class Adversarial Neural Networks
K. Al-Kaabi
R. Monsefi
Davood Zabihzadeh
116
8
0
11 Jun 2021
Artificial Intelligence in Drug Discovery: Applications and Techniques
Artificial Intelligence in Drug Discovery: Applications and Techniques
Jianyuan Deng
Zhibo Yang
Iwao Ojima
Dimitris Samaras
Fusheng Wang
AI4TS
121
112
0
09 Jun 2021
It Takes Two to Tango: Mixup for Deep Metric Learning
It Takes Two to Tango: Mixup for Deep Metric Learning
Shashanka Venkataramanan
Bill Psomas
Ewa Kijak
Laurent Amsaleg
Konstantinos Karantzalos
Yannis Avrithis
102
26
0
09 Jun 2021
SDGMNet: Statistic-based Dynamic Gradient Modulation for Local
  Descriptor Learning
SDGMNet: Statistic-based Dynamic Gradient Modulation for Local Descriptor Learning
Jiayi Ma
Yuxin Deng
68
5
0
08 Jun 2021
Self-Attention Between Datapoints: Going Beyond Individual Input-Output
  Pairs in Deep Learning
Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning
Jannik Kossen
Neil Band
Clare Lyle
Aidan Gomez
Tom Rainforth
Y. Gal
OOD3DPC
116
142
0
04 Jun 2021
Unsupervised Visual Representation Learning by Online Constrained
  K-Means
Unsupervised Visual Representation Learning by Online Constrained K-Means
Qi Qian
Yuanhong Xu
Juhua Hu
Hao Li
Rong Jin
CMLSSL
77
36
0
24 May 2021
VS-Net: Voting with Segmentation for Visual Localization
VS-Net: Voting with Segmentation for Visual Localization
Zhaoyang Huang
Han Zhou
Yijin Li
Bangbang Yang
Yan Xu
Xiaowei Zhou
Hujun Bao
Guofeng Zhang
Hongsheng Li
3DPC
84
43
0
23 May 2021
IDEAL: Independent Domain Embedding Augmentation Learning
IDEAL: Independent Domain Embedding Augmentation Learning
Zhiyuan Chen
Guang Yao
Wennan Ma
Lin Xu
OOD
99
1
0
21 May 2021
Semi-Supervised Metric Learning: A Deep Resurrection
Semi-Supervised Metric Learning: A Deep Resurrection
U. Dutta
Mehrtash Harandi
C. Sekhar
44
7
0
10 May 2021
End-to-end One-shot Human Parsing
End-to-end One-shot Human Parsing
Haoyu He
Bohan Zhuang
Jing Zhang
Jianfei Cai
Dacheng Tao
VLM
75
8
0
04 May 2021
VeriMedi: Pill Identification using Proxy-based Deep Metric Learning and
  Exact Solution
VeriMedi: Pill Identification using Proxy-based Deep Metric Learning and Exact Solution
Tekin Evrim Ozmermer
Viktors Roze
Stanislavs Hilcuks
A. Neščerecka
MedIm
27
3
0
22 Apr 2021
Continual learning in cross-modal retrieval
Continual learning in cross-modal retrieval
Kai Wang
Luis Herranz
Joost van de Weijer
CLL
49
14
0
14 Apr 2021
Instance Level Affinity-Based Transfer for Unsupervised Domain
  Adaptation
Instance Level Affinity-Based Transfer for Unsupervised Domain Adaptation
Astuti Sharma
Tarun Kalluri
Manmohan Chandraker
61
49
0
03 Apr 2021
Learning with Memory-based Virtual Classes for Deep Metric Learning
Learning with Memory-based Virtual Classes for Deep Metric Learning
ByungSoo Ko
Geonmo Gu
Han-Gyu Kim
VLM
86
28
0
31 Mar 2021
Noise-resistant Deep Metric Learning with Ranking-based Instance
  Selection
Noise-resistant Deep Metric Learning with Ranking-based Instance Selection
Chang-rui Liu
Han Yu
Boyang Albert Li
Zhiqi Shen
Zhanning Gao
Peiran Ren
Xuansong Xie
Li-zhen Cui
Chunyan Miao
NoLa
80
38
0
30 Mar 2021
von Mises-Fisher Loss: An Exploration of Embedding Geometries for
  Supervised Learning
von Mises-Fisher Loss: An Exploration of Embedding Geometries for Supervised Learning
Tyler R. Scott
Andrew C. Gallagher
Michael C. Mozer
95
42
0
29 Mar 2021
Proxy Synthesis: Learning with Synthetic Classes for Deep Metric
  Learning
Proxy Synthesis: Learning with Synthetic Classes for Deep Metric Learning
Geonmo Gu
ByungSoo Ko
Han-Gyu Kim
54
36
0
29 Mar 2021
Embedding Transfer with Label Relaxation for Improved Metric Learning
Embedding Transfer with Label Relaxation for Improved Metric Learning
Sungyeon Kim
Dongwon Kim
Minsu Cho
Suha Kwak
77
32
0
27 Mar 2021
Modeling the Compatibility of Stem Tracks to Generate Music Mashups
Modeling the Compatibility of Stem Tracks to Generate Music Mashups
Jiawen Huang
Ju-Chiang Wang
Jordan B. L. Smith
Xuchen Song
Yuxuan Wang
62
13
0
26 Mar 2021
Rethinking Deep Contrastive Learning with Embedding Memory
Rethinking Deep Contrastive Learning with Embedding Memory
Haozhi Zhang
Xun Wang
Weilin Huang
Matthew R. Scott
53
3
0
25 Mar 2021
Hierarchical Proxy-based Loss for Deep Metric Learning
Hierarchical Proxy-based Loss for Deep Metric Learning
Zhibo Yang
M. Bastan
Xinliang Zhu
Douglas Gray
Dimitris Samaras
73
27
0
25 Mar 2021
Balanced softmax cross-entropy for incremental learning with and without
  memory
Balanced softmax cross-entropy for incremental learning with and without memory
Quentin Jodelet
Xin Liu
T. Murata
CLL
104
28
0
23 Mar 2021
Dynamic Metric Learning: Towards a Scalable Metric Space to Accommodate
  Multiple Semantic Scales
Dynamic Metric Learning: Towards a Scalable Metric Space to Accommodate Multiple Semantic Scales
Yifan Sun
Yuke Zhu
Yuhan Zhang
Pengkun Zheng
Xi Qiu
Chi Zhang
Yichen Wei
65
17
0
22 Mar 2021
Improving Image co-segmentation via Deep Metric Learning
Improving Image co-segmentation via Deep Metric Learning
Zhengwen Li
Xiabi Liu
VLM
26
1
0
19 Mar 2021
NPT-Loss: A Metric Loss with Implicit Mining for Face Recognition
NPT-Loss: A Metric Loss with Implicit Mining for Face Recognition
S. S. Khalid
Muhammad Awais
Chi-Ho Chan
Zhenhua Feng
Ammarah Farooq
A. Akbari
J. Kittler
CVBM
73
10
0
05 Mar 2021
Learning ABCs: Approximate Bijective Correspondence for isolating
  factors of variation with weak supervision
Learning ABCs: Approximate Bijective Correspondence for isolating factors of variation with weak supervision
Kieran A. Murphy
Varun Jampani
Srikumar Ramalingam
A. Makadia
88
2
0
04 Mar 2021
Learning Intra-Batch Connections for Deep Metric Learning
Learning Intra-Batch Connections for Deep Metric Learning
Jenny Seidenschwarz
Ismail Elezi
Laura Leal-Taixé
FedML
78
54
0
15 Feb 2021
Training Vision Transformers for Image Retrieval
Training Vision Transformers for Image Retrieval
Alaaeldin El-Nouby
Natalia Neverova
Ivan Laptev
Hervé Jégou
ViT
136
159
0
10 Feb 2021
Rethinking the Optimization of Average Precision: Only Penalizing
  Negative Instances before Positive Ones is Enough
Rethinking the Optimization of Average Precision: Only Penalizing Negative Instances before Positive Ones is Enough
Zhu Li
Weiqing Min
Jiajun Song
Yaohui Zhu
Liping Kang
Xiaoming Wei
Xiaolin K. Wei
Shuqiang Jiang
175
10
0
09 Feb 2021
Improving memory banks for unsupervised learning with large mini-batch,
  consistency and hard negative mining
Improving memory banks for unsupervised learning with large mini-batch, consistency and hard negative mining
Adrian Bulat
Enrique Sánchez-Lozano
Georgios Tzimiropoulos
75
5
0
08 Feb 2021
MOTS R-CNN: Cosine-margin-triplet loss for multi-object tracking
MOTS R-CNN: Cosine-margin-triplet loss for multi-object tracking
Amit Satish Unde
Renu M. Rameshan
VOTMQ
68
5
0
06 Feb 2021
Metric Learning for Session-based Recommendations
Metric Learning for Session-based Recommendations
Bartlomiej Twardowski
P. Zawistowski
Szymon Zaborowski
DML
54
6
0
07 Jan 2021
Camera-aware Proxies for Unsupervised Person Re-Identification
Camera-aware Proxies for Unsupervised Person Re-Identification
Menglin Wang
Baisheng Lai
Jianqiang Huang
Xiaojin Gong
Xiansheng Hua
86
202
0
19 Dec 2020
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