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Revisiting Training Strategies and Generalization Performance in Deep
  Metric Learning
v1v2v3v4v5v6v7v8v9 (latest)

Revisiting Training Strategies and Generalization Performance in Deep Metric Learning

International Conference on Machine Learning (ICML), 2020
19 February 2020
Karsten Roth
Timo Milbich
Samarth Sinha
Prateek Gupta
Bjorn Ommer
Joseph Paul Cohen
ArXiv (abs)PDFHTMLGithub (343★)

Papers citing "Revisiting Training Strategies and Generalization Performance in Deep Metric Learning"

50 / 106 papers shown
Instance-Level Generation for Representation Learning
Instance-Level Generation for Representation Learning
Yankun Wu
Zakaria Laskar
Giorgos Kordopatis-Zilos
Noa Garcia
Giorgos Tolias
161
0
0
10 Oct 2025
Similarity-based Outlier Detection for Noisy Object Re-Identification Using Beta Mixtures
Similarity-based Outlier Detection for Noisy Object Re-Identification Using Beta Mixtures
Waqar Ahmad
Evan Murphy
Vladimir A. Krylov
279
0
0
10 Sep 2025
Challenging Gradient Boosted Decision Trees with Tabular Transformers for Fraud Detection at Booking.com
Challenging Gradient Boosted Decision Trees with Tabular Transformers for Fraud Detection at Booking.com
Sergei Krutikov
Bulat Khaertdinov
Rodion Kiriukhin
Shubham Agrawal
Mozhdeh Ariannezhad
Kees Jan de Vries
LMTD
269
1
0
01 Jul 2025
Subspace-Boosted Model Merging
Subspace-Boosted Model Merging
Ronald Skorobogat
Karsten Roth
Mariana-Iuliana Georgescu
MoMe
432
3
0
19 Jun 2025
All You Need to Know About Training Image Retrieval Models
All You Need to Know About Training Image Retrieval Models
Gabriele Berton
Kevin Musgrave
Carlo Masone
VLM
310
1
0
17 Mar 2025
On the Generalization of Representation Uncertainty in Earth Observation
On the Generalization of Representation Uncertainty in Earth Observation
Spyros Kondylatos
Nikolaos Ioannis Bountos
Dimitrios Michail
Xiao Xiang Zhu
Gustau Camps-Valls
Ioannis Papoutsis
500
3
0
10 Mar 2025
AMES: Asymmetric and Memory-Efficient Similarity Estimation for
  Instance-level Retrieval
AMES: Asymmetric and Memory-Efficient Similarity Estimation for Instance-level RetrievalEuropean Conference on Computer Vision (ECCV), 2024
Pavel Suma
Giorgos Kordopatis-Zilos
Ahmet Iscen
Giorgos Tolias
VLM
403
9
0
06 Aug 2024
Contextuality Helps Representation Learning for Generalized Category
  Discovery
Contextuality Helps Representation Learning for Generalized Category DiscoveryInternational Conference on Information Photonics (ICIP), 2024
Tingzhang Luo
Mingxuan Du
Jiatao Shi
Xinxiang Chen
Bingchen Zhao
Shaoguang Huang
229
15
0
29 Jul 2024
Anti-Collapse Loss for Deep Metric Learning Based on Coding Rate Metric
Anti-Collapse Loss for Deep Metric Learning Based on Coding Rate Metric
XiRuo Jiang
Yazhou Yao
Xili Dai
Fumin Shen
Xian-Sheng Hua
Heng-Tao Shen
256
0
0
03 Jul 2024
Close, But Not There: Boosting Geographic Distance Sensitivity in Visual
  Place Recognition
Close, But Not There: Boosting Geographic Distance Sensitivity in Visual Place Recognition
Sergio Izquierdo
Javier Civera
272
17
0
02 Jul 2024
Potential Field Based Deep Metric Learning
Potential Field Based Deep Metric Learning
Shubhang Bhatnagar
Narendra Ahuja
476
2
0
28 May 2024
Generalization analysis with deep ReLU networks for metric and
  similarity learning
Generalization analysis with deep ReLU networks for metric and similarity learning
Junyu Zhou
Puyu Wang
Ding-Xuan Zhou
225
3
0
10 May 2024
FlameFinder: Illuminating Obscured Fire through Smoke with Attentive
  Deep Metric Learning
FlameFinder: Illuminating Obscured Fire through Smoke with Attentive Deep Metric LearningIEEE Transactions on Geoscience and Remote Sensing (TGRS), 2024
Hossein Rajoli
Sahand Khoshdel
Fatemeh Afghah
Xiaolong Ma
236
8
0
09 Apr 2024
Branch-Tuning: Balancing Stability and Plasticity for Continual
  Self-Supervised Learning
Branch-Tuning: Balancing Stability and Plasticity for Continual Self-Supervised Learning
Wenzhuo Liu
Fei Zhu
Cheng-Lin Liu
CLL
378
2
0
27 Mar 2024
Rethinking the Representation in Federated Unsupervised Learning with
  Non-IID Data
Rethinking the Representation in Federated Unsupervised Learning with Non-IID Data
Xinting Liao
Weiming Liu
Chaochao Chen
Pengyang Zhou
Fengyuan Yu
Huabin Zhu
Binhui Yao
Tao Wang
Xiaolin Zheng
Yanchao Tan
FedML
186
18
0
25 Mar 2024
Towards Improved Proxy-based Deep Metric Learning via Data-Augmented
  Domain Adaptation
Towards Improved Proxy-based Deep Metric Learning via Data-Augmented Domain AdaptationAAAI Conference on Artificial Intelligence (AAAI), 2024
Li Ren
Chen Chen
Liqiang Wang
Kien Hua
235
16
0
01 Jan 2024
Collapse-Aware Triplet Decoupling for Adversarially Robust Image
  Retrieval
Collapse-Aware Triplet Decoupling for Adversarially Robust Image RetrievalInternational Conference on Machine Learning (ICML), 2023
Qiwei Tian
Chenhao Lin
Subrat Kishore Dutta
Qian Li
Chao Shen
313
3
0
12 Dec 2023
Class Distribution Shifts in Zero-Shot Learning: Learning Robust
  Representations
Class Distribution Shifts in Zero-Shot Learning: Learning Robust RepresentationsNeural Information Processing Systems (NeurIPS), 2023
Y. Slavutsky
Y. Benjamini
VLMOOD
364
4
0
30 Nov 2023
ProcSim: Proxy-based Confidence for Robust Similarity Learning
ProcSim: Proxy-based Confidence for Robust Similarity LearningIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Oriol Barbany
Xiaofan Lin
Muhammet Bastan
Arnab Dhua
279
2
0
01 Nov 2023
Fantastic Gains and Where to Find Them: On the Existence and Prospect of
  General Knowledge Transfer between Any Pretrained Model
Fantastic Gains and Where to Find Them: On the Existence and Prospect of General Knowledge Transfer between Any Pretrained ModelInternational Conference on Learning Representations (ICLR), 2023
Karsten Roth
Lukas Thede
Almut Sophia Koepke
Oriol Vinyals
Olivier J. Hénaff
Zeynep Akata
AAML
319
17
0
26 Oct 2023
Boundary-Aware Proposal Generation Method for Temporal Action
  Localization
Boundary-Aware Proposal Generation Method for Temporal Action LocalizationVisual Communications and Image Processing (VCIP), 2023
Hao Zhang
Chunyan Feng
Jiahui Yang
Zheng Li
Caili Guo
167
1
0
25 Sep 2023
FaceCoresetNet: Differentiable Coresets for Face Set Recognition
FaceCoresetNet: Differentiable Coresets for Face Set RecognitionAAAI Conference on Artificial Intelligence (AAAI), 2023
Gil Shapira
Y. Keller
CVBM
210
3
0
27 Aug 2023
Masked Autoencoders are Efficient Class Incremental Learners
Masked Autoencoders are Efficient Class Incremental LearnersIEEE International Conference on Computer Vision (ICCV), 2023
Jiang-Tian Zhai
Xialei Liu
Andrew D. Bagdanov
Ke Li
Mingg-Ming Cheng
CLL
206
20
0
24 Aug 2023
Generalized Sum Pooling for Metric Learning
Generalized Sum Pooling for Metric LearningIEEE International Conference on Computer Vision (ICCV), 2023
†. YetiZ.Gürbüz
Ozan Sener
Alatan RSiM
FedML
317
9
0
18 Aug 2023
Deep Metric Learning for the Hemodynamics Inference with
  Electrocardiogram Signals
Deep Metric Learning for the Hemodynamics Inference with Electrocardiogram SignalsMachine Learning in Health Care (MLHC), 2023
Hyewon Jeong
Collin M. Stultz
Marzyeh Ghassemi
288
5
0
09 Aug 2023
Center Contrastive Loss for Metric Learning
Center Contrastive Loss for Metric Learning
Bolun Cai
Pengfei Xiong
Shangxuan Tian
SSL
220
9
0
01 Aug 2023
Generalizable Embeddings with Cross-batch Metric Learning
Generalizable Embeddings with Cross-batch Metric LearningInternational Conference on Information Photonics (ICIP), 2023
Y. Z. Gürbüz
A. Aydin Alatan
FedML
318
2
0
14 Jul 2023
Threshold-Consistent Margin Loss for Open-World Deep Metric Learning
Threshold-Consistent Margin Loss for Open-World Deep Metric LearningInternational Conference on Learning Representations (ICLR), 2023
Qin Zhang
Linghan Xu
Qingming Tang
Jun Fang
Yingqi Wu
Joseph Tighe
Yifan Xing
242
10
0
08 Jul 2023
URL: A Representation Learning Benchmark for Transferable Uncertainty
  Estimates
URL: A Representation Learning Benchmark for Transferable Uncertainty EstimatesNeural Information Processing Systems (NeurIPS), 2023
Michael Kirchhof
Bálint Mucsányi
Seong Joon Oh
Enkelejda Kasneci
UQCV
1.3K
16
0
07 Jul 2023
Catching Image Retrieval Generalization
Catching Image Retrieval Generalization
Maksim Zhdanov
I. Karpukhin
VLM
217
0
0
23 Jun 2023
GeneCIS: A Benchmark for General Conditional Image Similarity
GeneCIS: A Benchmark for General Conditional Image SimilarityComputer Vision and Pattern Recognition (CVPR), 2023
S. Vaze
Nicolas Carion
Ishan Misra
VLMDiffM
252
46
0
13 Jun 2023
OpenMix: Exploring Outlier Samples for Misclassification Detection
OpenMix: Exploring Outlier Samples for Misclassification DetectionComputer Vision and Pattern Recognition (CVPR), 2023
Fei Zhu
Zhen Cheng
Xu-Yao Zhang
Cheng-Lin Liu
UQCV
226
47
0
30 Mar 2023
Selectively Hard Negative Mining for Alleviating Gradient Vanishing in
  Image-Text Matching
Selectively Hard Negative Mining for Alleviating Gradient Vanishing in Image-Text Matching
Zheng Li
Caili Guo
Xin Eric Wang
Zerun Feng
Zhongtian Du
VLM
247
10
0
01 Mar 2023
Metric Learning Improves the Ability of Combinatorial Coverage Metrics
  to Anticipate Classification Error
Metric Learning Improves the Ability of Combinatorial Coverage Metrics to Anticipate Classification ErrorInternational Conference on Software Testing, Verification and Validation Workshops (ICST), 2023
Tyler Cody
Laura J. Freeman
OODD
152
2
0
28 Feb 2023
SimCon Loss with Multiple Views for Text Supervised Semantic
  Segmentation
SimCon Loss with Multiple Views for Text Supervised Semantic Segmentation
Yash J. Patel
Yusheng Xie
Yi Zhu
Srikar Appalaraju
R. Manmatha
203
4
0
07 Feb 2023
MN-Pair Contrastive Damage Representation and Clustering for Prognostic
  Explanation
MN-Pair Contrastive Damage Representation and Clustering for Prognostic Explanation
Takato Yasuno
Masahiro Okano
Junichiro Fujii
438
2
0
15 Jan 2023
Advancing Deep Metric Learning Through Multiple Batch Norms And
  Multi-Targeted Adversarial Examples
Advancing Deep Metric Learning Through Multiple Batch Norms And Multi-Targeted Adversarial Examples
Inderjeet Singh
Kazuya Kakizaki
Toshinori Araki
AAMLOOD
208
0
0
29 Nov 2022
A Light Touch Approach to Teaching Transformers Multi-view Geometry
A Light Touch Approach to Teaching Transformers Multi-view GeometryComputer Vision and Pattern Recognition (CVPR), 2022
Brandon Smart
Joao F. Henriques
Andrew Zisserman
ViT
202
6
0
28 Nov 2022
InDiReCT: Language-Guided Zero-Shot Deep Metric Learning for Images
InDiReCT: Language-Guided Zero-Shot Deep Metric Learning for ImagesIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Konstantin Kobs
M. Steininger
Andreas Hotho
VLM
107
8
0
23 Nov 2022
Self-distillation with Online Diffusion on Batch Manifolds Improves Deep
  Metric Learning
Self-distillation with Online Diffusion on Batch Manifolds Improves Deep Metric Learning
Zelong Zeng
Fan Yang
Hong Liu
Shiníchi Satoh
221
0
0
14 Nov 2022
Understanding the properties and limitations of contrastive learning for
  Out-of-Distribution detection
Understanding the properties and limitations of contrastive learning for Out-of-Distribution detection
Nawid Keshtmand
Raúl Santos-Rodríguez
J. Lawry
SSL
214
2
0
06 Nov 2022
No Pairs Left Behind: Improving Metric Learning with Regularized Triplet
  Objective
No Pairs Left Behind: Improving Metric Learning with Regularized Triplet Objective
A. Heydari
N. Rezaei
Daniel J. McDuff
Javier L. Prieto
139
0
0
18 Oct 2022
Disentanglement of Correlated Factors via Hausdorff Factorized Support
Disentanglement of Correlated Factors via Hausdorff Factorized SupportInternational Conference on Learning Representations (ICLR), 2022
Karsten Roth
Mark Ibrahim
Zeynep Akata
Pascal Vincent
Diane Bouchacourt
CMLOODCoGe
293
40
0
13 Oct 2022
Large-to-small Image Resolution Asymmetry in Deep Metric Learning
Large-to-small Image Resolution Asymmetry in Deep Metric LearningIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Pavel Suma
Giorgos Tolias
236
6
0
11 Oct 2022
Coded Residual Transform for Generalizable Deep Metric Learning
Coded Residual Transform for Generalizable Deep Metric LearningNeural Information Processing Systems (NeurIPS), 2022
Shichao Kan
Yixiong Liang
Min Li
Yigang Cen
Jianxin Wang
Z. He
299
2
0
09 Oct 2022
Towards Understanding and Mitigating Dimensional Collapse in
  Heterogeneous Federated Learning
Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated LearningInternational Conference on Learning Representations (ICLR), 2022
Yujun Shi
Jian Liang
Wenqing Zhang
Vincent Y. F. Tan
Song Bai
FedML
416
82
0
01 Oct 2022
Feature Decoupling in Self-supervised Representation Learning for Open
  Set Recognition
Feature Decoupling in Self-supervised Representation Learning for Open Set RecognitionIEEE International Joint Conference on Neural Network (IJCNN), 2022
Jingyun Jia
P. Chan
BDL
173
2
0
28 Sep 2022
Deep Metric Learning with Chance Constraints
Deep Metric Learning with Chance ConstraintsIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Y. Z. Gürbüz
Ogul Can
A. Aydin Alatan
450
3
0
19 Sep 2022
Sampling Through the Lens of Sequential Decision Making
Sampling Through the Lens of Sequential Decision Making
J. Dou
Alvin Pan
Runxue Bao
Haiyi Mao
Lei Luo
Zhi-Hong Mao
407
21
0
17 Aug 2022
DAS: Densely-Anchored Sampling for Deep Metric Learning
DAS: Densely-Anchored Sampling for Deep Metric LearningEuropean Conference on Computer Vision (ECCV), 2022
Lizhao Liu
Shan Huang
Zhuangwei Zhuang
Ran Yang
Zhuliang Yu
Yaowei Wang
286
13
0
30 Jul 2022
123
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