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MixBag: Bag-Level Data Augmentation for Learning from Label Proportions

MixBag: Bag-Level Data Augmentation for Learning from Label Proportions

17 August 2023
Takanori Asanomi
Shinnosuke Matsuo
D. Suehiro
Ryoma Bise
ArXiv (abs)PDFHTML

Papers citing "MixBag: Bag-Level Data Augmentation for Learning from Label Proportions"

11 / 11 papers shown
Title
A novel multiple instance learning framework for COVID-19 severity
  assessment via data augmentation and self-supervised learning
A novel multiple instance learning framework for COVID-19 severity assessment via data augmentation and self-supervised learning
Ze-kun Li
Wei Zhao
F. Shi
Lei Qi
Xingzhi Xie
...
Yang Gao
Shangjie Wu
Jun Liu
Yinghuan Shi
Dinggang Shen
64
59
0
07 Feb 2021
FenceMask: A Data Augmentation Approach for Pre-extracted Image Features
FenceMask: A Data Augmentation Approach for Pre-extracted Image Features
Pu Li
Xiangyang Li
Xiang Long
54
20
0
14 Jun 2020
GridMask Data Augmentation
GridMask Data Augmentation
Pengguang Chen
Shu Liu
Hengshuang Zhao
Xingquan Wang
Jiaya Jia
94
311
0
13 Jan 2020
RandAugment: Practical automated data augmentation with a reduced search
  space
RandAugment: Practical automated data augmentation with a reduced search space
E. D. Cubuk
Barret Zoph
Jonathon Shlens
Quoc V. Le
MQ
234
3,490
0
30 Sep 2019
Deep multi-class learning from label proportions
Deep multi-class learning from label proportions
Gabriel Dulac-Arnold
Neil Zeghidour
Marco Cuturi
Lucas Beyer
Jean-Philippe Vert
52
50
0
30 May 2019
CutMix: Regularization Strategy to Train Strong Classifiers with
  Localizable Features
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features
Sangdoo Yun
Dongyoon Han
Seong Joon Oh
Sanghyuk Chun
Junsuk Choe
Y. Yoo
OOD
619
4,780
0
13 May 2019
The Effectiveness of Data Augmentation in Image Classification using
  Deep Learning
The Effectiveness of Data Augmentation in Image Classification using Deep Learning
Luis Perez
Jason Wang
80
2,789
0
13 Dec 2017
mixup: Beyond Empirical Risk Minimization
mixup: Beyond Empirical Risk Minimization
Hongyi Zhang
Moustapha Cissé
Yann N. Dauphin
David Lopez-Paz
NoLa
280
9,764
0
25 Oct 2017
Improved Regularization of Convolutional Neural Networks with Cutout
Improved Regularization of Convolutional Neural Networks with Cutout
Terrance Devries
Graham W. Taylor
117
3,765
0
15 Aug 2017
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial
  Networks
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
Jun-Yan Zhu
Taesung Park
Phillip Isola
Alexei A. Efros
GAN
125
5,553
0
30 Mar 2017
Temporal Ensembling for Semi-Supervised Learning
Temporal Ensembling for Semi-Supervised Learning
S. Laine
Timo Aila
UQCV
185
2,560
0
07 Oct 2016
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