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Data Augmentation with Manifold Exploring Geometric Transformations for
  Increased Performance and Robustness

Data Augmentation with Manifold Exploring Geometric Transformations for Increased Performance and Robustness

14 January 2019
Magdalini Paschali
Walter Simson
Abhijit Guha Roy
Muhammad Ferjad Naeem
Rudiger Gobl
Christian Wachinger
Nassir Navab
    AAML
ArXiv (abs)PDFHTML

Papers citing "Data Augmentation with Manifold Exploring Geometric Transformations for Increased Performance and Robustness"

10 / 10 papers shown
Joint Optimization of Class-Specific Training- and Test-Time Data
  Augmentation in Segmentation
Joint Optimization of Class-Specific Training- and Test-Time Data Augmentation in SegmentationIEEE Transactions on Medical Imaging (TMI), 2023
Zeju Li
Konstantinos Kamnitsas
Qi Dou
C. Qin
Ben Glocker
281
7
0
30 May 2023
The Causal Structure of Domain Invariant Supervised Representation
  Learning
The Causal Structure of Domain Invariant Supervised Representation Learning
Zihao Wang
Victor Veitch
CMLOOD
429
4
0
15 Aug 2022
A Survey of Automated Data Augmentation Algorithms for Deep
  Learning-based Image Classification Tasks
A Survey of Automated Data Augmentation Algorithms for Deep Learning-based Image Classification TasksKnowledge and Information Systems (KAIS), 2022
Z. Yang
Richard Sinnott
James Bailey
Qiuhong Ke
325
64
0
14 Jun 2022
Hybrid Deep Learning Model using SPCAGAN Augmentation for Insider Threat
  Analysis
Hybrid Deep Learning Model using SPCAGAN Augmentation for Insider Threat AnalysisExpert systems with applications (ESWA), 2022
Gayathri R.G.
Atul Sajjanhar
Yong Xiang
AAML
185
22
0
06 Mar 2022
A Survey of Data Augmentation Approaches for NLP
A Survey of Data Augmentation Approaches for NLPFindings (Findings), 2021
Steven Y. Feng
Varun Gangal
Jason W. Wei
Sarath Chandar
Soroush Vosoughi
Teruko Mitamura
Eduard H. Hovy
AIMat
787
955
0
07 May 2021
SSMBA: Self-Supervised Manifold Based Data Augmentation for Improving
  Out-of-Domain Robustness
SSMBA: Self-Supervised Manifold Based Data Augmentation for Improving Out-of-Domain RobustnessConference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Nathan Ng
Dong Wang
Marzyeh Ghassemi
258
152
0
21 Sep 2020
Anatomical Data Augmentation via Fluid-based Image Registration
Anatomical Data Augmentation via Fluid-based Image Registration
Zhengyang Shen
Zhenlin Xu
Sahin Olut
Marc Niethammer
MedIm
130
17
0
05 Jul 2020
No Surprises: Training Robust Lung Nodule Detection for Low-Dose CT
  Scans by Augmenting with Adversarial Attacks
No Surprises: Training Robust Lung Nodule Detection for Low-Dose CT Scans by Augmenting with Adversarial AttacksIEEE Transactions on Medical Imaging (TMI), 2020
Siqi Liu
A. Setio
Florin-Cristian Ghesu
Eli Gibson
Sasa Grbic
Bogdan Georgescu
Dorin Comaniciu
AAMLOOD
361
44
0
08 Mar 2020
Population Based Augmentation: Efficient Learning of Augmentation Policy
  Schedules
Population Based Augmentation: Efficient Learning of Augmentation Policy SchedulesInternational Conference on Machine Learning (ICML), 2019
Daniel Ho
Eric Liang
Ion Stoica
Pieter Abbeel
Xi Chen
284
438
0
14 May 2019
Fast AutoAugment
Fast AutoAugmentNeural Information Processing Systems (NeurIPS), 2019
Sungbin Lim
Ildoo Kim
Taesup Kim
Chiheon Kim
Sungwoong Kim
556
654
0
01 May 2019
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