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Improving Deep Metric Learning by Divide and Conquer

Improving Deep Metric Learning by Divide and Conquer

9 September 2021
A. Sanakoyeu
Pingchuan Ma
Vadim Tschernezki
Bjorn Ommer
ArXivPDFHTML

Papers citing "Improving Deep Metric Learning by Divide and Conquer"

6 / 6 papers shown
Title
Introspective Deep Metric Learning
Introspective Deep Metric Learning
Cheng-Hao Wang
Wenzhao Zheng
Zheng Hua Zhu
Jie Zhou
Jiwen Lu
UQCV
18
12
0
11 Sep 2023
Contrastive Bayesian Analysis for Deep Metric Learning
Contrastive Bayesian Analysis for Deep Metric Learning
Shichao Kan
Zhiquan He
Yigang Cen
Yang Li
Mladenovic Vladimir
Z. He
19
19
0
10 Oct 2022
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
26
3
0
09 Oct 2022
Prototype Memory for Large-scale Face Representation Learning
Prototype Memory for Large-scale Face Representation Learning
Evgeny Smirnov
Nikita Garaev
V. Galyuk
Evgeny Lukyanets
CVBM
13
3
0
05 May 2021
Classification is a Strong Baseline for Deep Metric Learning
Classification is a Strong Baseline for Deep Metric Learning
Andrew Zhai
Hao Wu
VLM
24
25
0
30 Nov 2018
Learning Attributes Equals Multi-Source Domain Generalization
Learning Attributes Equals Multi-Source Domain Generalization
Chuang Gan
Tianbao Yang
Boqing Gong
OOD
150
197
0
03 May 2016
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