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  3. 2003.08505
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A Metric Learning Reality Check

A Metric Learning Reality Check

18 March 2020
Kevin Musgrave
Serge J. Belongie
Ser-Nam Lim
ArXivPDFHTML

Papers citing "A Metric Learning Reality Check"

50 / 294 papers shown
Title
InDiReCT: Language-Guided Zero-Shot Deep Metric Learning for Images
InDiReCT: Language-Guided Zero-Shot Deep Metric Learning for Images
Konstantin Kobs
M. Steininger
Andreas Hotho
VLM
11
3
0
23 Nov 2022
Learning to Generate Image Embeddings with User-level Differential
  Privacy
Learning to Generate Image Embeddings with User-level Differential Privacy
Zheng Xu
Maxwell D. Collins
Yuxiao Wang
Liviu Panait
Sewoong Oh
S. Augenstein
Ting Liu
Florian Schroff
H. B. McMahan
FedML
30
29
0
20 Nov 2022
Denoising Multi-Similarity Formulation: A Self-paced Curriculum-Driven
  Approach for Robust Metric Learning
Denoising Multi-Similarity Formulation: A Self-paced Curriculum-Driven Approach for Robust Metric Learning
Chenkang Zhang
Lei Luo
Bin Gu
30
4
0
19 Nov 2022
Informative Sample-Aware Proxy for Deep Metric Learning
Informative Sample-Aware Proxy for Deep Metric Learning
Aoyu Li
Ikuro Sato
Kohta Ishikawa
Rei Kawakami
Rio Yokota
11
1
0
18 Nov 2022
OpenGait: Revisiting Gait Recognition Toward Better Practicality
OpenGait: Revisiting Gait Recognition Toward Better Practicality
Chao Fan
Junhao Liang
Chuanfu Shen
Saihui Hou
Yongzhen Huang
Shiqi Yu
CVBM
16
125
0
12 Nov 2022
An Empirical Study on Clustering Pretrained Embeddings: Is Deep Strictly
  Better?
An Empirical Study on Clustering Pretrained Embeddings: Is Deep Strictly Better?
Tyler R. Scott
Ting Liu
Michael C. Mozer
Andrew C. Gallagher
CVBM
FedML
24
1
0
09 Nov 2022
$BT^2$: Backward-compatible Training with Basis Transformation
BT2BT^2BT2: Backward-compatible Training with Basis Transformation
Yi Zhou
Zilu Li
Abhinav Shrivastava
Hengshuang Zhao
Antonio Torralba
Taipeng Tian
Ser-Nam Lim
13
3
0
08 Nov 2022
Monocular Dynamic View Synthesis: A Reality Check
Monocular Dynamic View Synthesis: A Reality Check
Han Gao
Ruilong Li
Shubham Tulsiani
Bryan C. Russell
Angjoo Kanazawa
20
111
0
24 Oct 2022
Transformers For Recognition In Overhead Imagery: A Reality Check
Transformers For Recognition In Overhead Imagery: A Reality Check
Francesco Luzi
Aneesh Gupta
L. Collins
Kyle Bradbury
Jordan M. Malof
ViT
24
4
0
23 Oct 2022
OPERA: Omni-Supervised Representation Learning with Hierarchical
  Supervisions
OPERA: Omni-Supervised Representation Learning with Hierarchical Supervisions
Cheng-Hao Wang
Wenzhao Zheng
Zhengbiao Zhu
Jie Zhou
Jiwen Lu
SSL
AI4TS
45
4
0
11 Oct 2022
Contrastive Bayesian Analysis for Deep Metric Learning
Contrastive Bayesian Analysis for Deep Metric Learning
Shichao Kan
Zhiquan He
Yigang Cen
Yang Li
Mladenovic Vladimir
Z. He
27
19
0
10 Oct 2022
Coded Residual Transform for Generalizable Deep Metric Learning
Coded Residual Transform for Generalizable Deep Metric Learning
Shichao Kan
Yixiong Liang
Min Li
Yigang Cen
Jianxin Wang
Z. He
34
3
0
09 Oct 2022
Granularity-aware Adaptation for Image Retrieval over Multiple Tasks
Granularity-aware Adaptation for Image Retrieval over Multiple Tasks
Jon Almazán
ByungSoo Ko
Geonmo Gu
Diane Larlus
Yannis Kalantidis
ObjD
VLM
28
7
0
05 Oct 2022
Supervised Metric Learning to Rank for Retrieval via Contextual
  Similarity Optimization
Supervised Metric Learning to Rank for Retrieval via Contextual Similarity Optimization
Christopher Liao
Theodoros Tsiligkaridis
Brian Kulis
SSL
30
3
0
04 Oct 2022
On Background Bias in Deep Metric Learning
On Background Bias in Deep Metric Learning
Konstantin Kobs
Andreas Hotho
14
1
0
04 Oct 2022
Uncertainty Estimation for 3D Dense Prediction via Cross-Point
  Embeddings
Uncertainty Estimation for 3D Dense Prediction via Cross-Point Embeddings
Kaiwen Cai
Chris Xiaoxuan Lu
Xiaowei Huang
3DPC
29
2
0
29 Sep 2022
Deep Metric Learning with Chance Constraints
Deep Metric Learning with Chance Constraints
Y. Z. Gürbüz
Ogul Can
Aydin Alatan
19
2
0
19 Sep 2022
Part-aware Prototypical Graph Network for One-shot Skeleton-based Action
  Recognition
Part-aware Prototypical Graph Network for One-shot Skeleton-based Action Recognition
Tailin Chen
Desen Zhou
Jian Wang
Shidong Wang
Qian He
Chuanyan Hu
Errui Ding
Yuanyuan Guan
Xuming He
27
14
0
19 Aug 2022
How does the degree of novelty impacts semi-supervised representation
  learning for novel class retrieval?
How does the degree of novelty impacts semi-supervised representation learning for novel class retrieval?
Q. Leroy
Olivier Buisson
Alexis Joly
SSL
19
0
0
17 Aug 2022
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
14
7
0
30 Jul 2022
Paired Cross-Modal Data Augmentation for Fine-Grained Image-to-Text
  Retrieval
Paired Cross-Modal Data Augmentation for Fine-Grained Image-to-Text Retrieval
Hao Wang
Guosheng Lin
S. Hoi
Chun Miao
21
15
0
29 Jul 2022
Visual Knowledge Tracing
Visual Knowledge Tracing
Neehar Kondapaneni
Pietro Perona
Oisin Mac Aodha
12
0
0
20 Jul 2022
The Caltech Fish Counting Dataset: A Benchmark for Multiple-Object
  Tracking and Counting
The Caltech Fish Counting Dataset: A Benchmark for Multiple-Object Tracking and Counting
Justin Kay
Peter Kulits
Suzanne Stathatos
Siqi Deng
Erik Young
Sara Beery
Grant Van Horn
Pietro Perona
19
26
0
19 Jul 2022
Demystifying Unsupervised Semantic Correspondence Estimation
Demystifying Unsupervised Semantic Correspondence Estimation
Mehmet Aygun
Oisin Mac Aodha
24
9
0
11 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
11
12
0
08 Jul 2022
Learning Towards the Largest Margins
Learning Towards the Largest Margins
Xiong Zhou
Xianming Liu
Deming Zhai
Junjun Jiang
Xin Gao
Xiangyang Ji
22
12
0
23 Jun 2022
RetrievalGuard: Provably Robust 1-Nearest Neighbor Image Retrieval
RetrievalGuard: Provably Robust 1-Nearest Neighbor Image Retrieval
Yihan Wu
Hongyang R. Zhang
Heng Huang
3DV
24
17
0
17 Jun 2022
Evaluation of Contrastive Learning with Various Code Representations for
  Code Clone Detection
Evaluation of Contrastive Learning with Various Code Representations for Code Clone Detection
Maksim Zubkov
Egor Spirin
Egor Bogomolov
T. Bryksin
30
4
0
17 Jun 2022
Neural Bregman Divergences for Distance Learning
Neural Bregman Divergences for Distance Learning
Fred Lu
Edward Raff
Francis Ferraro
12
3
0
09 Jun 2022
Improving Evaluation of Debiasing in Image Classification
Improving Evaluation of Debiasing in Image Classification
Jungsoo Lee
Juyoung Lee
Sanghun Jung
Jaegul Choo
19
0
0
08 Jun 2022
Guided Deep Metric Learning
Guided Deep Metric Learning
Jorge Gonzalez-Zapata
Iván Reyes-Amezcua
Daniel Flores-Araiza
M. Mendez-Ruiz
G. Ochoa-Ruiz
Andres Mendez-Vazquez
FedML
24
5
0
04 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
CLL
VLM
29
18
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
NoLa
VLM
11
2
0
23 May 2022
Deep transfer learning for image classification: a survey
Deep transfer learning for image classification: a survey
J. Plested
Tom Gedeon
OOD
24
36
0
20 May 2022
SoK: The Impact of Unlabelled Data in Cyberthreat Detection
SoK: The Impact of Unlabelled Data in Cyberthreat Detection
Giovanni Apruzzese
P. Laskov
A.T. Tastemirova
25
28
0
18 May 2022
A Comprehensive Survey of Few-shot Learning: Evolution, Applications,
  Challenges, and Opportunities
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities
Yisheng Song
Ting-Yuan Wang
S. Mondal
J. P. Sahoo
SLR
41
342
0
13 May 2022
RepSR: Training Efficient VGG-style Super-Resolution Networks with
  Structural Re-Parameterization and Batch Normalization
RepSR: Training Efficient VGG-style Super-Resolution Networks with Structural Re-Parameterization and Batch Normalization
Xintao Wang
Chao Dong
Ying Shan
22
48
0
11 May 2022
CV4Code: Sourcecode Understanding via Visual Code Representations
CV4Code: Sourcecode Understanding via Visual Code Representations
Ruibo Shi
Lili Tao
Rohan Saphal
Fran Silavong
Sean J. Moran
23
0
0
11 May 2022
Should attention be all we need? The epistemic and ethical implications
  of unification in machine learning
Should attention be all we need? The epistemic and ethical implications of unification in machine learning
N. Fishman
Leif Hancox-Li
25
10
0
09 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
17
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
14
7
0
05 May 2022
AdaTriplet: Adaptive Gradient Triplet Loss with Automatic Margin
  Learning for Forensic Medical Image Matching
AdaTriplet: Adaptive Gradient Triplet Loss with Automatic Margin Learning for Forensic Medical Image Matching
Khanh T. K. Nguyen
Huy Hoang Nguyen
A. Tiulpin
MedIm
8
7
0
05 May 2022
Probing Cross-Lingual Lexical Knowledge from Multilingual Sentence
  Encoders
Probing Cross-Lingual Lexical Knowledge from Multilingual Sentence Encoders
Ivan Vulić
Goran Glavavs
Fangyu Liu
Nigel Collier
E. Ponti
Anna Korhonen
17
8
0
30 Apr 2022
Use All The Labels: A Hierarchical Multi-Label Contrastive Learning
  Framework
Use All The Labels: A Hierarchical Multi-Label Contrastive Learning Framework
Shu Zhen Zhang
Ran Xu
Caiming Xiong
Chetan Ramaiah
SSL
15
68
0
27 Apr 2022
On Leveraging Variational Graph Embeddings for Open World Compositional
  Zero-Shot Learning
On Leveraging Variational Graph Embeddings for Open World Compositional Zero-Shot Learning
Muhammad Umer Anwaar
Zhihui Pan
M. Kleinsteuber
OCL
BDL
CoGe
11
10
0
23 Apr 2022
A Revealing Large-Scale Evaluation of Unsupervised Anomaly Detection
  Algorithms
A Revealing Large-Scale Evaluation of Unsupervised Anomaly Detection Algorithms
Maxime Alvarez
Jean-Charles Verdier
D'Jeff K. Nkashama
Marc Frappier
Pierre Martin Tardif
F. Kabanza
18
17
0
21 Apr 2022
Uncertainty-based Cross-Modal Retrieval with Probabilistic
  Representations
Uncertainty-based Cross-Modal Retrieval with Probabilistic Representations
Leila Pishdad
Ran Zhang
Konstantinos G. Derpanis
Allan D. Jepson
Afsaneh Fazly
19
2
0
20 Apr 2022
On The Cross-Modal Transfer from Natural Language to Code through
  Adapter Modules
On The Cross-Modal Transfer from Natural Language to Code through Adapter Modules
Divyam Goel
Raman Grover
Fatemeh H. Fard
20
18
0
19 Apr 2022
Empirical Evaluation and Theoretical Analysis for Representation
  Learning: A Survey
Empirical Evaluation and Theoretical Analysis for Representation Learning: A Survey
Kento Nozawa
Issei Sato
AI4TS
19
4
0
18 Apr 2022
Probabilistic Compositional Embeddings for Multimodal Image Retrieval
Probabilistic Compositional Embeddings for Multimodal Image Retrieval
Andrei Neculai
Yanbei Chen
Zeynep Akata
CoGe
22
31
0
12 Apr 2022
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