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No Pairs Left Behind: Improving Metric Learning with Regularized Triplet
  Objective

No Pairs Left Behind: Improving Metric Learning with Regularized Triplet Objective

18 October 2022
A. Heydari
N. Rezaei
Daniel J. McDuff
Javier L. Prieto
ArXivPDFHTML

Papers citing "No Pairs Left Behind: Improving Metric Learning with Regularized Triplet Objective"

3 / 3 papers shown
Title
Construct Informative Triplet with Two-stage Hard-sample Generation
Construct Informative Triplet with Two-stage Hard-sample Generation
Chuang Zhu
Zheng Hu
Huihui Dong
Gang He
Zekuan Yu
Shangshang Zhang
21
3
0
04 Dec 2021
A weakly supervised adaptive triplet loss for deep metric learning
A weakly supervised adaptive triplet loss for deep metric learning
Xiaonan Zhao
Huan Qi
R. Luo
Larry S. Davis
DML
27
24
0
27 Sep 2019
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
294
6,943
0
20 Apr 2018
1