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DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning

DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning

28 April 2020
Timo Milbich
Karsten Roth
Homanga Bharadhwaj
Samarth Sinha
Yoshua Bengio
Bjorn Ommer
Joseph Paul Cohen
ArXivPDFHTML

Papers citing "DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning"

13 / 13 papers shown
Title
Potential Field Based Deep Metric Learning
Potential Field Based Deep Metric Learning
Shubhang Bhatnagar
Narendra Ahuja
42
1
0
28 May 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
31
7
0
01 Jan 2024
Generalizable Embeddings with Cross-batch Metric Learning
Generalizable Embeddings with Cross-batch Metric Learning
Y. Z. Gürbüz
Aydin Alatan
FedML
36
2
0
14 Jul 2023
Intra-class Adaptive Augmentation with Neighbor Correction for Deep
  Metric Learning
Intra-class Adaptive Augmentation with Neighbor Correction for Deep Metric Learning
Zheren Fu
Zhendong Mao
Bo Hu
An-an Liu
Yongdong Zhang
23
5
0
29 Nov 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
Rank-Enhanced Low-Dimensional Convolution Set for Hyperspectral Image
  Denoising
Rank-Enhanced Low-Dimensional Convolution Set for Hyperspectral Image Denoising
Jinhui Hou
Zhiyu Zhu
Hui Liu
Junhui Hou
BDL
10
0
0
09 Jul 2022
Improving Generalization of Metric Learning via Listwise
  Self-distillation
Improving Generalization of Metric Learning via Listwise Self-distillation
Zelong Zeng
Fan Yang
Z. Wang
Shiníchi Satoh
FedML
33
1
0
17 Jun 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
21
15
0
23 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
19
36
0
16 Mar 2022
Graphs as Tools to Improve Deep Learning Methods
Graphs as Tools to Improve Deep Learning Methods
Carlos Lassance
Myriam Bontonou
Mounia Hamidouche
Bastien Pasdeloup
Lucas Drumetz
Vincent Gripon
GNN
AI4CE
AAML
39
0
0
08 Oct 2021
Proxy Synthesis: Learning with Synthetic Classes for Deep Metric
  Learning
Proxy Synthesis: Learning with Synthetic Classes for Deep Metric Learning
Geonmo Gu
ByungSoo Ko
Han-Gyu Kim
19
36
0
29 Mar 2021
Towards Improved and Interpretable Deep Metric Learning via Attentive
  Grouping
Towards Improved and Interpretable Deep Metric Learning via Attentive Grouping
Xinyi Xu
Zhangyang Wang
Cheng Deng
Hao Yuan
Shuiwang Ji
FedML
19
14
0
17 Nov 2020
Boosting Self-Supervised Learning via Knowledge Transfer
Boosting Self-Supervised Learning via Knowledge Transfer
M. Noroozi
Ananth Vinjimoor
Paolo Favaro
Hamed Pirsiavash
SSL
209
292
0
01 May 2018
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