ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1906.05990
  4. Cited By
Divide and Conquer the Embedding Space for Metric Learning

Divide and Conquer the Embedding Space for Metric Learning

14 June 2019
A. Sanakoyeu
Vadim Tschernezki
U. Büchler
Bjorn Ommer
    SSL
ArXivPDFHTML

Papers citing "Divide and Conquer the Embedding Space for Metric Learning"

14 / 64 papers shown
Title
PADS: Policy-Adapted Sampling for Visual Similarity Learning
PADS: Policy-Adapted Sampling for Visual Similarity Learning
Karsten Roth
Timo Milbich
Bjorn Ommer
24
49
0
24 Mar 2020
A unifying mutual information view of metric learning: cross-entropy vs.
  pairwise losses
A unifying mutual information view of metric learning: cross-entropy vs. pairwise losses
Malik Boudiaf
Jérôme Rony
Imtiaz Masud Ziko
Eric Granger
M. Pedersoli
Pablo Piantanida
Ismail Ben Ayed
SSL
23
158
0
19 Mar 2020
A Metric Learning Reality Check
A Metric Learning Reality Check
Kevin Musgrave
Serge J. Belongie
Ser-Nam Lim
59
475
0
18 Mar 2020
Rethinking Zero-shot Video Classification: End-to-end Training for
  Realistic Applications
Rethinking Zero-shot Video Classification: End-to-end Training for Realistic Applications
Biagio Brattoli
Joseph Tighe
Fedor Zhdanov
Pietro Perona
Krzysztof Chalupka
VLM
137
127
0
03 Mar 2020
Revisiting Training Strategies and Generalization Performance in Deep
  Metric Learning
Revisiting Training Strategies and Generalization Performance in Deep Metric Learning
Karsten Roth
Timo Milbich
Samarth Sinha
Prateek Gupta
Bjorn Ommer
Joseph Paul Cohen
22
169
0
19 Feb 2020
Adapting Grad-CAM for Embedding Networks
Adapting Grad-CAM for Embedding Networks
Lei Chen
Jianhui Chen
Hossein Hajimirsadeghi
Greg Mori
28
53
0
17 Jan 2020
Cross-Batch Memory for Embedding Learning
Cross-Batch Memory for Embedding Learning
Xun Wang
H. Zhang
Weilin Huang
Matthew R. Scott
33
247
0
14 Dec 2019
The Group Loss for Deep Metric Learning
The Group Loss for Deep Metric Learning
Ismail Elezi
Sebastiano Vascon
Alessandro Torcinovich
Marcello Pelillo
Laura Leal-Taixe
22
50
0
01 Dec 2019
Instance Cross Entropy for Deep Metric Learning
Instance Cross Entropy for Deep Metric Learning
Xinshao Wang
Elyor Kodirov
Yang Hua
N. Robertson
27
5
0
22 Nov 2019
MIC: Mining Interclass Characteristics for Improved Metric Learning
MIC: Mining Interclass Characteristics for Improved Metric Learning
Karsten Roth
Biagio Brattoli
Bjorn Ommer
22
89
0
25 Sep 2019
Part-Guided Attention Learning for Vehicle Instance Retrieval
Part-Guided Attention Learning for Vehicle Instance Retrieval
Xinyu Zhang
Rufeng Zhang
Jiewei Cao
Dong Gong
Mingyu You
Chunhua Shen
29
37
0
13 Sep 2019
Deep Metric Learning with Alternating Projections onto Feasible Sets
Deep Metric Learning with Alternating Projections onto Feasible Sets
Ogul Can
Y. Z. Gürbüz
A. Aydin Alatan
27
5
0
17 Jul 2019
Ranked List Loss for Deep Metric Learning
Ranked List Loss for Deep Metric Learning
Xinshao Wang
Yang Hua
Elyor Kodirov
N. Robertson
34
246
0
08 Mar 2019
Attacks on State-of-the-Art Face Recognition using Attentional
  Adversarial Attack Generative Network
Attacks on State-of-the-Art Face Recognition using Attentional Adversarial Attack Generative Network
Q. Song
Yingqi Wu
Lu Yang
AAML
CVBM
GAN
24
96
0
29 Nov 2018
Previous
12