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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
DAS: Densely-Anchored Sampling for Deep Metric Learning
DAS: Densely-Anchored Sampling for Deep Metric Learning
Lizhao Liu
Shan Huang
Zhuangwei Zhuang
Ran Yang
Mingkui Tan
Yaowei Wang
90
7
0
30 Jul 2022
Dynamic Gradient Reactivation for Backward Compatible Person
  Re-identification
Dynamic Gradient Reactivation for Backward Compatible Person Re-identification
Xiao Pan
Haowen Luo
Weihua Chen
Fan Wang
Hao Li
Wei Jiang
Jianming Zhang
Jianyang Gu
Peike Li
77
7
0
12 Jul 2022
A Non-isotropic Probabilistic Take on Proxy-based Deep Metric Learning
A Non-isotropic Probabilistic Take on Proxy-based Deep Metric Learning
Michael Kirchhof
Karsten Roth
Zeynep Akata
Enkelejda Kasneci
97
13
0
08 Jul 2022
Hierarchical Average Precision Training for Pertinent Image Retrieval
Hierarchical Average Precision Training for Pertinent Image Retrieval
Elias Ramzi
Nicolas Audebert
Nicolas Thome
Clément Rambour
Xavier Bitot
58
7
0
05 Jul 2022
Few-shot incremental learning in the context of solar cell quality
  inspection
Few-shot incremental learning in the context of solar cell quality inspection
Julen Balzategui
Luka Eciolaza
19
6
0
01 Jul 2022
Attention-based Dynamic Subspace Learners for Medical Image Analysis
Attention-based Dynamic Subspace Learners for Medical Image Analysis
V. SukeshAdiga
Jose Dolz
H. Lombaert
49
1
0
18 Jun 2022
Improving Generalization of Metric Learning via Listwise
  Self-distillation
Improving Generalization of Metric Learning via Listwise Self-distillation
Zelong Zeng
Fan Yang
Ziyi Wang
Shiníchi Satoh
FedML
70
1
0
17 Jun 2022
Large-Margin Representation Learning for Texture Classification
Large-Margin Representation Learning for Texture Classification
Jonathan de Matos
L. S. Oliveira
Alceu de Souza Britto Junior
Alessandro Lameiras Koerich
22
2
0
17 Jun 2022
MORE: A Metric Learning Based Framework for Open-domain Relation
  Extraction
MORE: A Metric Learning Based Framework for Open-domain Relation Extraction
Yutong Wang
Renze Lou
Kai Zhang
Mao Yan Chen
Yujiu Yang
31
8
0
01 Jun 2022
Continual Learning for Visual Search with Backward Consistent Feature
  Embedding
Continual Learning for Visual Search with Backward Consistent Feature Embedding
Timmy S. T. Wan
Jun-Cheng Chen
Tzer-Yi Wu
Chu-Song Chen
CLLVLM
85
19
0
26 May 2022
Deep Image Retrieval is not Robust to Label Noise
Deep Image Retrieval is not Robust to Label Noise
Stanislav Dereka
I. Karpukhin
Sergey Kolesnikov
NoLaVLM
65
2
0
23 May 2022
Bypassing Logits Bias in Online Class-Incremental Learning with a
  Generative Framework
Bypassing Logits Bias in Online Class-Incremental Learning with a Generative Framework
Gehui Shen
Shibo Jie
Ziheng Li
Zhi-Hong Deng
CLL
25
0
0
19 May 2022
Evaluating Generalizability of Fine-Tuned Models for Fake News Detection
Evaluating Generalizability of Fine-Tuned Models for Fake News Detection
Abhijit Suprem
C. Pu
72
4
0
15 May 2022
Introspective Deep Metric Learning for Image Retrieval
Introspective Deep Metric Learning for Image Retrieval
Wenzhao Zheng
Cheng-Hao Wang
Jie Zhou
Jiwen Lu
VLM
57
0
0
09 May 2022
Do Different Deep Metric Learning Losses Lead to Similar Learned
  Features?
Do Different Deep Metric Learning Losses Lead to Similar Learned Features?
Konstantin Kobs
M. Steininger
Andrzej Dulny
Andreas Hotho
31
8
0
05 May 2022
Self-Taught Metric Learning without Labels
Self-Taught Metric Learning without Labels
Sungyeon Kim
Dongwon Kim
Minsu Cho
Suha Kwak
SSL
105
21
0
04 May 2022
Training and challenging models for text-guided fashion image retrieval
Training and challenging models for text-guided fashion image retrieval
Eric Dodds
Jack Culpepper
Gaurav Srivastava
56
9
0
23 Apr 2022
Planes vs. Chairs: Category-guided 3D shape learning without any 3D cues
Planes vs. Chairs: Category-guided 3D shape learning without any 3D cues
Zixuan Huang
Stefan Stojanov
Anh Thai
Varun Jampani
James M. Rehg
3DV
135
11
0
21 Apr 2022
The Group Loss++: A deeper look into group loss for deep metric learning
The Group Loss++: A deeper look into group loss for deep metric learning
Ismail Elezi
Jenny Seidenschwarz
Laurin Wagner
Sebastiano Vascon
Alessandro Torcinovich
Marcello Pelillo
Laura Leal-Taixe
71
12
0
04 Apr 2022
Asymmetric Proxy Loss for Multi-View Acoustic Word Embeddings
Asymmetric Proxy Loss for Multi-View Acoustic Word Embeddings
Myunghun Jung
Hoirin Kim
68
4
0
30 Mar 2022
Learning a Structured Latent Space for Unsupervised Point Cloud
  Completion
Learning a Structured Latent Space for Unsupervised Point Cloud Completion
Yingjie Cai
Kwan-Yee Lin
Chao Zhang
Qiang Wang
Xiaogang Wang
Hongsheng Li
3DPCSSL
95
37
0
29 Mar 2022
Attributable Visual Similarity Learning
Attributable Visual Similarity Learning
Borui Zhang
Wenzhao Zheng
Jie Zhou
Jiwen Lu
69
18
0
28 Mar 2022
Class-Incremental Learning for Action Recognition in Videos
Class-Incremental Learning for Action Recognition in Videos
Jaeyoo Park
Minsoo Kang
Bohyung Han
CLL
84
52
0
25 Mar 2022
Is Fairness Only Metric Deep? Evaluating and Addressing Subgroup Gaps in
  Deep Metric Learning
Is Fairness Only Metric Deep? Evaluating and Addressing Subgroup Gaps in Deep Metric Learning
Natalie Dullerud
Karsten Roth
Kimia Hamidieh
Nicolas Papernot
Marzyeh Ghassemi
90
15
0
23 Mar 2022
Hyperbolic Vision Transformers: Combining Improvements in Metric
  Learning
Hyperbolic Vision Transformers: Combining Improvements in Metric Learning
Aleksandr Ermolov
L. Mirvakhabova
Valentin Khrulkov
N. Sebe
Ivan Oseledets
96
105
0
21 Mar 2022
Non-isotropy Regularization for Proxy-based Deep Metric Learning
Non-isotropy Regularization for Proxy-based Deep Metric Learning
Karsten Roth
Oriol Vinyals
Zeynep Akata
105
39
0
16 Mar 2022
Integrating Language Guidance into Vision-based Deep Metric Learning
Integrating Language Guidance into Vision-based Deep Metric Learning
Karsten Roth
Oriol Vinyals
Zeynep Akata
VLM
55
29
0
16 Mar 2022
How to Exploit Hyperspherical Embeddings for Out-of-Distribution
  Detection?
How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection?
Yifei Ming
Yiyou Sun
Ousmane Amadou Dia
Yixuan Li
OODD
173
103
0
08 Mar 2022
Probabilistic Embeddings Revisited
Probabilistic Embeddings Revisited
I. Karpukhin
Stanislav Dereka
Sergey Kolesnikov
UQCVAAML
47
10
0
14 Feb 2022
Dissecting the impact of different loss functions with gradient surgery
Dissecting the impact of different loss functions with gradient surgery
Hong Xuan
Robert Pless
30
1
0
27 Jan 2022
Spectral, Probabilistic, and Deep Metric Learning: Tutorial and Survey
Spectral, Probabilistic, and Deep Metric Learning: Tutorial and Survey
Benyamin Ghojogh
A. Ghodsi
Fakhri Karray
Mark Crowley
88
21
0
23 Jan 2022
Visual Representation Learning with Self-Supervised Attention for
  Low-Label High-data Regime
Visual Representation Learning with Self-Supervised Attention for Low-Label High-data Regime
Prarthana Bhattacharyya
Chenge Li
Xiaonan Zhao
István Fehérvári
Jason Sun
ViT
64
2
0
22 Jan 2022
Adaptive neighborhood Metric learning
Adaptive neighborhood Metric learning
Kun Song
Junwei Han
Gong Cheng
Jiwen Lu
Feiping Nie
70
27
0
20 Jan 2022
Offline-Online Associated Camera-Aware Proxies for Unsupervised Person
  Re-identification
Offline-Online Associated Camera-Aware Proxies for Unsupervised Person Re-identification
Menglin Wang
Jiachen Li
Baisheng Lai
Xiaojin Gong
Xiansheng Hua
90
23
0
15 Jan 2022
A Comprehensive Empirical Study of Vision-Language Pre-trained Model for
  Supervised Cross-Modal Retrieval
A Comprehensive Empirical Study of Vision-Language Pre-trained Model for Supervised Cross-Modal Retrieval
Zhixiong Zeng
Wenji Mao
VLM
52
18
0
08 Jan 2022
Learning to Generate Novel Classes for Deep Metric Learning
Learning to Generate Novel Classes for Deep Metric Learning
Kyungmoo Lee
Sungyeon Kim
Seunghoon Hong
Suha Kwak
85
1
0
04 Jan 2022
Multi-Head Deep Metric Learning Using Global and Local Representations
Multi-Head Deep Metric Learning Using Global and Local Representations
M. K. Ebrahimpour
Gang Qian
Allison Beach
73
8
0
28 Dec 2021
Deep Hash Distillation for Image Retrieval
Deep Hash Distillation for Image Retrieval
Young Kyun Jang
Geonmo Gu
ByungSoo Ko
Isaac Kang
N. Cho
93
36
0
16 Dec 2021
Applying SoftTriple Loss for Supervised Language Model Fine Tuning
Applying SoftTriple Loss for Supervised Language Model Fine Tuning
Witold Sosnowski
Anna Wróblewska
P. Gawrysiak
24
0
0
15 Dec 2021
Modality-Aware Triplet Hard Mining for Zero-shot Sketch-Based Image
  Retrieval
Modality-Aware Triplet Hard Mining for Zero-shot Sketch-Based Image Retrieval
Zongheng Huang
YiFan Sun
Chuchu Han
Changxin Gao
Nong Sang
82
6
0
15 Dec 2021
DeepDiffusion: Unsupervised Learning of Retrieval-adapted
  Representations via Diffusion-based Ranking on Latent Feature Manifold
DeepDiffusion: Unsupervised Learning of Retrieval-adapted Representations via Diffusion-based Ranking on Latent Feature Manifold
T. Furuya
Ryutarou Ohbuchi
DiffM
69
1
0
14 Dec 2021
Anchoring to Exemplars for Training Mixture-of-Expert Cell Embeddings
Anchoring to Exemplars for Training Mixture-of-Expert Cell Embeddings
Siqi Wang
Manyuan Lu
Nikita Moshkov
Juan C. Caicedo
Bryan A. Plummer
51
4
0
06 Dec 2021
ACNet: Approaching-and-Centralizing Network for Zero-Shot Sketch-Based
  Image Retrieval
ACNet: Approaching-and-Centralizing Network for Zero-Shot Sketch-Based Image Retrieval
Hao Ren
Ziqiang Zheng
Yang Wu
Hong-wei Lu
Yang Yang
Ying Shan
Sai-Kit Yeung
97
15
0
24 Nov 2021
Full-attention based Neural Architecture Search using Context
  Auto-regression
Full-attention based Neural Architecture Search using Context Auto-regression
Yuan Zhou
Haiyang Wang
Shuwei Huo
Boyu Wang
62
3
0
13 Nov 2021
Multi-input Architecture and Disentangled Representation Learning for
  Multi-dimensional Modeling of Music Similarity
Multi-input Architecture and Disentangled Representation Learning for Multi-dimensional Modeling of Music Similarity
Sebastian Ribecky
J. Abeßer
Hanna M. Lukashevich
35
0
0
02 Nov 2021
Adaptive Hierarchical Similarity Metric Learning with Noisy Labels
Adaptive Hierarchical Similarity Metric Learning with Noisy Labels
Jiexi Yan
Lei Luo
Cheng Deng
Heng-Chiao Huang
NoLa
55
20
0
29 Oct 2021
ABO: Dataset and Benchmarks for Real-World 3D Object Understanding
ABO: Dataset and Benchmarks for Real-World 3D Object Understanding
Jasmine Collins
Shubham Goel
Kenan Deng
Achleshwar Luthra
Leon L. Xu
...
T. F. Y. Vicente
T. Dideriksen
H. Arora
M. Guillaumin
Jitendra Malik
220
232
0
12 Oct 2021
Multi Proxy Anchor Family Loss for Several Types of Gradients
Multi Proxy Anchor Family Loss for Several Types of Gradients
Shozo Saeki
Minoru Kawahara
Hirohisa Aman
55
2
0
08 Oct 2021
Robust and Decomposable Average Precision for Image Retrieval
Robust and Decomposable Average Precision for Image Retrieval
Elias Ramzi
Nicolas Thome
Clément Rambour
Nicolas Audebert
Xavier Bitot
109
28
0
01 Oct 2021
SphereFace Revived: Unifying Hyperspherical Face Recognition
SphereFace Revived: Unifying Hyperspherical Face Recognition
Weiyang Liu
Yandong Wen
Bhiksha Raj
Rita Singh
Adrian Weller
3DHCVBM
100
39
0
12 Sep 2021
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