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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
Few-Shot Object Detection in Unseen Domains
Few-Shot Object Detection in Unseen Domains
Karim Guirguis
George Eskandar
Matthias Kayser
Bin Yang
Jürgen Beyerer
34
1
0
11 Apr 2022
ECCV Caption: Correcting False Negatives by Collecting
  Machine-and-Human-verified Image-Caption Associations for MS-COCO
ECCV Caption: Correcting False Negatives by Collecting Machine-and-Human-verified Image-Caption Associations for MS-COCO
Sanghyuk Chun
Wonjae Kim
Song Park
Minsuk Chang
Seong Joon Oh
VLM
368
43
0
07 Apr 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
30
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 V. Oseledets
25
100
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
24
36
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
14
29
0
16 Mar 2022
Represent, Compare, and Learn: A Similarity-Aware Framework for
  Class-Agnostic Counting
Represent, Compare, and Learn: A Similarity-Aware Framework for Class-Agnostic Counting
Min Shi
Hao Lu
Chen Feng
Chengxin Liu
Zhiguo Cao
24
84
0
16 Mar 2022
Improving Word Translation via Two-Stage Contrastive Learning
Improving Word Translation via Two-Stage Contrastive Learning
Yaoyiran Li
Fangyu Liu
Nigel Collier
Anna Korhonen
Ivan Vulić
39
29
0
15 Mar 2022
ARTEMIS: Attention-based Retrieval with Text-Explicit Matching and
  Implicit Similarity
ARTEMIS: Attention-based Retrieval with Text-Explicit Matching and Implicit Similarity
Ginger Delmas
Rafael Sampaio de Rezende
G. Csurka
Diane Larlus
VLM
13
98
0
15 Mar 2022
S5CL: Unifying Fully-Supervised, Self-Supervised, and Semi-Supervised
  Learning Through Hierarchical Contrastive Learning
S5CL: Unifying Fully-Supervised, Self-Supervised, and Semi-Supervised Learning Through Hierarchical Contrastive Learning
Manuel Tran
S. J. Wagner
Melanie Boxberg
T. Peng
SSL
17
12
0
14 Mar 2022
Transfer of Representations to Video Label Propagation: Implementation
  Factors Matter
Transfer of Representations to Video Label Propagation: Implementation Factors Matter
Daniel McKee
Zitong Zhan
Bing Shuai
Davide Modolo
Joseph Tighe
Svetlana Lazebnik
SSL
18
4
0
10 Mar 2022
Online Deep Metric Learning via Mutual Distillation
Online Deep Metric Learning via Mutual Distillation
Gaowen Liu
Wanqing Zhao
Jie Zhao
FedML
CLL
11
1
0
10 Mar 2022
Efficient Image Representation Learning with Federated Sampled Softmax
Efficient Image Representation Learning with Federated Sampled Softmax
Sagar M. Waghmare
Qi
Huizhong Chen
Mikhail Sirotenko
Tomer Meron
FedML
11
2
0
09 Mar 2022
ZippyPoint: Fast Interest Point Detection, Description, and Matching
  through Mixed Precision Discretization
ZippyPoint: Fast Interest Point Detection, Description, and Matching through Mixed Precision Discretization
Menelaos Kanakis
S. Maurer
Matteo Spallanzani
Ajad Chhatkuli
Luc Van Gool
3DPC
29
13
0
07 Mar 2022
STUN: Self-Teaching Uncertainty Estimation for Place Recognition
STUN: Self-Teaching Uncertainty Estimation for Place Recognition
Kaiwen Cai
Chris Xiaoxuan Lu
Xiaowei Huang
24
11
0
03 Mar 2022
Practitioner Motives to Use Different Hyperparameter Optimization Methods
Practitioner Motives to Use Different Hyperparameter Optimization Methods
Niclas Kannengießer
Niklas Hasebrook
Felix Morsbach
Marc-André Zöller
Jörg Franke
Marius Lindauer
Frank Hutter
Ali Sunyaev
39
4
0
03 Mar 2022
Enhancing Adversarial Robustness for Deep Metric Learning
Enhancing Adversarial Robustness for Deep Metric Learning
Mo Zhou
Vishal M. Patel
AAML
27
18
0
02 Mar 2022
Improving Point Cloud Based Place Recognition with Ranking-based Loss
  and Large Batch Training
Improving Point Cloud Based Place Recognition with Ranking-based Loss and Large Batch Training
J. Komorowski
3DPC
27
62
0
02 Mar 2022
Addressing Randomness in Evaluation Protocols for Out-of-Distribution
  Detection
Addressing Randomness in Evaluation Protocols for Out-of-Distribution Detection
Konstantin Kirchheim
Tim Gonschorek
F. Ortmeier
OODD
28
2
0
01 Mar 2022
Increasing Depth of Neural Networks for Life-long Learning
Increasing Depth of Neural Networks for Life-long Learning
Jkedrzej Kozal
Michal Wo'zniak
CLL
23
8
0
22 Feb 2022
Auxiliary Cross-Modal Representation Learning with Triplet Loss
  Functions for Online Handwriting Recognition
Auxiliary Cross-Modal Representation Learning with Triplet Loss Functions for Online Handwriting Recognition
Felix Ott
David Rügamer
Lucas Heublein
Bernd Bischl
Christopher Mutschler
56
9
0
16 Feb 2022
Do Lessons from Metric Learning Generalize to Image-Caption Retrieval?
Do Lessons from Metric Learning Generalize to Image-Caption Retrieval?
Maurits J. R. Bleeker
Maarten de Rijke
SSL
DML
29
9
0
14 Feb 2022
Probabilistic Embeddings Revisited
Probabilistic Embeddings Revisited
I. Karpukhin
Stanislav Dereka
Sergey Kolesnikov
UQCV
AAML
14
10
0
14 Feb 2022
Neighborhood Contrastive Learning for Scientific Document
  Representations with Citation Embeddings
Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings
Malte Ostendorff
Nils Rethmeier
Isabelle Augenstein
Bela Gipp
Georg Rehm
19
73
0
14 Feb 2022
Graph Neural Network for Cell Tracking in Microscopy Videos
Graph Neural Network for Cell Tracking in Microscopy Videos
Tal Ben-Haim
Tammy Riklin-Raviv
24
28
0
09 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
20
1
0
27 Jan 2022
Crystal structure prediction with machine learning-based element
  substitution
Crystal structure prediction with machine learning-based element substitution
Minoru Kusaba
Chang Liu
Ryo Yoshida
14
46
0
26 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
34
2
0
22 Jan 2022
Distance-Ratio-Based Formulation for Metric Learning
Distance-Ratio-Based Formulation for Metric Learning
Hyeongji Kim
P. Parviainen
K. Malde
11
1
0
21 Jan 2022
Eye Know You Too: A DenseNet Architecture for End-to-end Eye Movement
  Biometrics
Eye Know You Too: A DenseNet Architecture for End-to-end Eye Movement Biometrics
D. Lohr
Oleg V. Komogortsev
25
4
0
05 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
24
8
0
28 Dec 2021
Simple and Effective Balance of Contrastive Losses
Simple and Effective Balance of Contrastive Losses
Arnaud Sors
Rafael Sampaio de Rezende
Sarah Ibrahimi
J. Andreoli
SSL
22
1
0
22 Dec 2021
RC-Net: A Convolutional Neural Network for Retinal Vessel Segmentation
RC-Net: A Convolutional Neural Network for Retinal Vessel Segmentation
T. M. Khan
A. Robles-Kelly
Syed S. Naqvi
24
23
0
21 Dec 2021
Learning with Label Noise for Image Retrieval by Selecting Interactions
Learning with Label Noise for Image Retrieval by Selecting Interactions
Sarah Ibrahimi
Arnaud Sors
Rafael Sampaio de Rezende
S. Clinchant
NoLa
VLM
24
16
0
20 Dec 2021
DeepFace-EMD: Re-ranking Using Patch-wise Earth Mover's Distance
  Improves Out-Of-Distribution Face Identification
DeepFace-EMD: Re-ranking Using Patch-wise Earth Mover's Distance Improves Out-Of-Distribution Face Identification
Hai T. Phan
Anh Totti Nguyen
CVBM
34
24
0
07 Dec 2021
Fine-Grained Image Analysis with Deep Learning: A Survey
Fine-Grained Image Analysis with Deep Learning: A Survey
Xiu-Shen Wei
Yi-Zhe Song
Oisin Mac Aodha
Jianxin Wu
Yuxin Peng
Jinhui Tang
Jian Yang
Serge Belongie
74
279
0
11 Nov 2021
Simultaneous Perturbation Method for Multi-Task Weight Optimization in
  One-Shot Meta-Learning
Simultaneous Perturbation Method for Multi-Task Weight Optimization in One-Shot Meta-Learning
Andrei Boiarov
K. Khabarlak
Igor Yastrebov
44
0
0
25 Oct 2021
EgoNN: Egocentric Neural Network for Point Cloud Based 6DoF
  Relocalization at the City Scale
EgoNN: Egocentric Neural Network for Point Cloud Based 6DoF Relocalization at the City Scale
Sina Gholamian
Monika Wysoczanska
Tomasz Trzciñski
3DPC
30
37
0
24 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
154
217
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
22
2
0
08 Oct 2021
Is An Image Worth Five Sentences? A New Look into Semantics for
  Image-Text Matching
Is An Image Worth Five Sentences? A New Look into Semantics for Image-Text Matching
Ali Furkan Biten
Andrés Mafla
Lluís Gómez
Dimosthenis Karatzas
179
17
0
06 Oct 2021
Incremental Class Learning using Variational Autoencoders with
  Similarity Learning
Incremental Class Learning using Variational Autoencoders with Similarity Learning
Jiahao Huo
Terence L van Zyl
CLL
19
1
0
04 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
37
27
0
01 Oct 2021
A Framework for Cluster and Classifier Evaluation in the Absence of
  Reference Labels
A Framework for Cluster and Classifier Evaluation in the Absence of Reference Labels
R. Joyce
Edward Raff
Charles K. Nicholas
43
16
0
23 Sep 2021
ConvFiT: Conversational Fine-Tuning of Pretrained Language Models
ConvFiT: Conversational Fine-Tuning of Pretrained Language Models
Ivan Vulić
Pei-hao Su
Sam Coope
D. Gerz
Paweł Budzianowski
I. Casanueva
Nikola Mrkvsić
Tsung-Hsien Wen
27
36
0
21 Sep 2021
SphereFace Revived: Unifying Hyperspherical Face Recognition
SphereFace Revived: Unifying Hyperspherical Face Recognition
Weiyang Liu
Yandong Wen
Bhiksha Raj
Rita Singh
Adrian Weller
3DH
CVBM
39
39
0
12 Sep 2021
A Decidability-Based Loss Function
A Decidability-Based Loss Function
Pedro H. L. Silva
Gladston J. P. Moreira
Vander L. S. Freitas
Rodrigo Silva
David Menotti
Eduardo José da S. Luz
CVBM
22
0
0
12 Sep 2021
Improving Deep Metric Learning by Divide and Conquer
Improving Deep Metric Learning by Divide and Conquer
A. Sanakoyeu
Pingchuan Ma
Vadim Tschernezki
Bjorn Ommer
32
14
0
09 Sep 2021
Learning with Holographic Reduced Representations
Learning with Holographic Reduced Representations
Ashwinkumar Ganesan
Hang Gao
S. Gandhi
Edward Raff
Tim Oates
James Holt
Mark McLean
13
23
0
05 Sep 2021
Reducing Label Effort: Self-Supervised meets Active Learning
Reducing Label Effort: Self-Supervised meets Active Learning
Javad Zolfaghari Bengar
Joost van de Weijer
Bartlomiej Twardowski
Bogdan Raducanu
VLM
24
60
0
25 Aug 2021
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