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SaliencyMix: A Saliency Guided Data Augmentation Strategy for Better
  Regularization

SaliencyMix: A Saliency Guided Data Augmentation Strategy for Better Regularization

2 June 2020
A. Uddin
Sirazam Monira
Wheemyung Shin
TaeChoong Chung
Sung-Ho Bae
ArXivPDFHTML

Papers citing "SaliencyMix: A Saliency Guided Data Augmentation Strategy for Better Regularization"

6 / 56 papers shown
Title
An overview of mixing augmentation methods and augmentation strategies
An overview of mixing augmentation methods and augmentation strategies
Dominik Lewy
Jacek Mańdziuk
23
61
0
21 Jul 2021
SSMix: Saliency-Based Span Mixup for Text Classification
SSMix: Saliency-Based Span Mixup for Text Classification
Soyoung Yoon
Gyuwan Kim
Kyumin Park
22
68
0
15 Jun 2021
Survey: Image Mixing and Deleting for Data Augmentation
Survey: Image Mixing and Deleting for Data Augmentation
Humza Naveed
Saeed Anwar
Munawar Hayat
Kashif Javed
Ajmal Mian
38
78
0
13 Jun 2021
It Takes Two to Tango: Mixup for Deep Metric Learning
It Takes Two to Tango: Mixup for Deep Metric Learning
Shashanka Venkataramanan
Bill Psomas
Ewa Kijak
Laurent Amsaleg
Konstantinos Karantzalos
Yannis Avrithis
23
25
0
09 Jun 2021
AlignMixup: Improving Representations By Interpolating Aligned Features
AlignMixup: Improving Representations By Interpolating Aligned Features
Shashanka Venkataramanan
Ewa Kijak
Laurent Amsaleg
Yannis Avrithis
WSOL
33
61
0
29 Mar 2021
Deep Weakly-Supervised Learning Methods for Classification and
  Localization in Histology Images: A Survey
Deep Weakly-Supervised Learning Methods for Classification and Localization in Histology Images: A Survey
Jérôme Rony
Soufiane Belharbi
Jose Dolz
Ismail Ben Ayed
Luke McCaffrey
Eric Granger
25
70
0
08 Sep 2019
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