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Learning Intra-Batch Connections for Deep Metric Learning

Learning Intra-Batch Connections for Deep Metric Learning

15 February 2021
Jenny Seidenschwarz
Ismail Elezi
Laura Leal-Taixé
    FedML
ArXivPDFHTML

Papers citing "Learning Intra-Batch Connections for Deep Metric Learning"

14 / 14 papers shown
Title
DVF: Advancing Robust and Accurate Fine-Grained Image Retrieval with
  Retrieval Guidelines
DVF: Advancing Robust and Accurate Fine-Grained Image Retrieval with Retrieval Guidelines
Xin Jiang
Hao Tang
Rui Yan
Jinhui Tang
Zechao Li
47
4
0
24 Apr 2024
Towards Improved Proxy-based Deep Metric Learning via Data-Augmented
  Domain Adaptation
Towards Improved Proxy-based Deep Metric Learning via Data-Augmented Domain Adaptation
Li Ren
Chen Chen
Liqiang Wang
Kien Hua
46
7
0
01 Jan 2024
Towards Universal Image Embeddings: A Large-Scale Dataset and Challenge
  for Generic Image Representations
Towards Universal Image Embeddings: A Large-Scale Dataset and Challenge for Generic Image Representations
Nikolaos-Antonios Ypsilantis
Kaifeng Chen
Bingyi Cao
Mário Lipovský
Pelin Dogan-Schönberger
Grzegorz Makosa
Boris Bluntschli
Mojtaba Seyedhosseini
Ondrej Chum
André Araujo
SSL
31
13
0
04 Sep 2023
Generalizable Embeddings with Cross-batch Metric Learning
Generalizable Embeddings with Cross-batch Metric Learning
Y. Z. Gürbüz
A. Aydin Alatan
FedML
46
2
0
14 Jul 2023
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
36
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
48
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
34
5
0
04 Oct 2022
Deep Metric Learning with Chance Constraints
Deep Metric Learning with Chance Constraints
Y. Z. Gürbüz
Ogul Can
A. Aydin Alatan
29
2
0
19 Sep 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
32
12
0
04 Apr 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
29
36
0
16 Mar 2022
Semi-supervised New Event Type Induction and Description via Contrastive
  Loss-Enforced Batch Attention
Semi-supervised New Event Type Induction and Description via Contrastive Loss-Enforced Batch Attention
Carl Edwards
Heng Ji
32
9
0
12 Feb 2022
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
44
54
0
25 Aug 2021
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
264
3,243
0
24 Nov 2016
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomas Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
311
31,280
0
16 Jan 2013
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