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MIC: Mining Interclass Characteristics for Improved Metric Learning

MIC: Mining Interclass Characteristics for Improved Metric Learning

25 September 2019
Karsten Roth
Biagio Brattoli
Bjorn Ommer
ArXivPDFHTML

Papers citing "MIC: Mining Interclass Characteristics for Improved Metric Learning"

19 / 19 papers shown
Title
Understanding Hyperbolic Metric Learning through Hard Negative Sampling
Understanding Hyperbolic Metric Learning through Hard Negative Sampling
Yun Yue
Fangzhou Lin
Guanyi Mou
Ziming Zhang
SSL
32
1
0
23 Apr 2024
Generalizable Embeddings with Cross-batch Metric Learning
Generalizable Embeddings with Cross-batch Metric Learning
Y. Z. Gürbüz
A. Aydin Alatan
FedML
44
2
0
14 Jul 2023
Search By Image: Deeply Exploring Beneficial Features for Beauty Product
  Retrieval
Search By Image: Deeply Exploring Beneficial Features for Beauty Product Retrieval
Mingqiang Wei
Qian Sun
H. Xie
Dong Liang
F. Wang
26
1
0
24 Mar 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
A. Aydin Alatan
27
2
0
19 Sep 2022
Learning Deep Optimal Embeddings with Sinkhorn Divergences
Learning Deep Optimal Embeddings with Sinkhorn Divergences
S. Roy
Yan Han
Mehrtash Harandi
L. Petersson
25
0
0
14 Sep 2022
Improving Generalization of Metric Learning via Listwise
  Self-distillation
Improving Generalization of Metric Learning via Listwise Self-distillation
Zelong Zeng
Fan Yang
Zihan Wang
Shiníchi Satoh
FedML
43
1
0
17 Jun 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
29
12
0
04 Apr 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 Oseledets
33
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
29
36
0
16 Mar 2022
Full-attention based Neural Architecture Search using Context
  Auto-regression
Full-attention based Neural Architecture Search using Context Auto-regression
Yuan Zhou
Haiyang Wang
Shuwei Huo
Boyu Wang
33
3
0
13 Nov 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
37
14
0
09 Sep 2021
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
Instance-level Image Retrieval using Reranking Transformers
Instance-level Image Retrieval using Reranking Transformers
Fuwen Tan
Jiangbo Yuan
Vicente Ordonez
ViT
28
89
0
22 Mar 2021
BroadFace: Looking at Tens of Thousands of People at Once for Face
  Recognition
BroadFace: Looking at Tens of Thousands of People at Once for Face Recognition
Y. Kim
Wonpyo Park
Jongju Shin
CVBM
33
51
0
15 Aug 2020
Smooth-AP: Smoothing the Path Towards Large-Scale Image Retrieval
Smooth-AP: Smoothing the Path Towards Large-Scale Image Retrieval
A. Brown
Weidi Xie
Vicky Kalogeiton
Andrew Zisserman
47
163
0
23 Jul 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
Boosting Self-Supervised Learning via Knowledge Transfer
Boosting Self-Supervised Learning via Knowledge Transfer
M. Noroozi
Ananth Vinjimoor
Paolo Favaro
Hamed Pirsiavash
SSL
224
292
0
01 May 2018
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