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Proxy Synthesis: Learning with Synthetic Classes for Deep Metric
  Learning

Proxy Synthesis: Learning with Synthetic Classes for Deep Metric Learning

29 March 2021
Geonmo Gu
ByungSoo Ko
Han-Gyu Kim
ArXivPDFHTML

Papers citing "Proxy Synthesis: Learning with Synthetic Classes for Deep Metric Learning"

7 / 7 papers shown
Title
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
21
5
0
29 Nov 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
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
Deep Hash Distillation for Image Retrieval
Deep Hash Distillation for Image Retrieval
Young Kyun Jang
Geonmo Gu
ByungSoo Ko
Isaac Kang
N. Cho
19
34
0
16 Dec 2021
A Framework to Enhance Generalization of Deep Metric Learning methods
  using General Discriminative Feature Learning and Class Adversarial Neural
  Networks
A Framework to Enhance Generalization of Deep Metric Learning methods using General Discriminative Feature Learning and Class Adversarial Neural Networks
K. Al-Kaabi
R. Monsefi
Davood Zabihzadeh
28
8
0
11 Jun 2021
Embedding Expansion: Augmentation in Embedding Space for Deep Metric
  Learning
Embedding Expansion: Augmentation in Embedding Space for Deep Metric Learning
ByungSoo Ko
Geonmo Gu
77
53
0
05 Mar 2020
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomáš Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
228
31,244
0
16 Jan 2013
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