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The Effectiveness of Data Augmentation in Image Classification using
  Deep Learning

The Effectiveness of Data Augmentation in Image Classification using Deep Learning

13 December 2017
Luis Perez
Jason Wang
ArXiv (abs)PDFHTML

Papers citing "The Effectiveness of Data Augmentation in Image Classification using Deep Learning"

50 / 566 papers shown
Title
A Multi-cascaded Model with Data Augmentation for Enhanced Paraphrase
  Detection in Short Texts
A Multi-cascaded Model with Data Augmentation for Enhanced Paraphrase Detection in Short Texts
M. Shakeel
Asim Karim
Imdadullah Khan
90
34
0
27 Dec 2019
An Abstraction Model for Semantic Segmentation Algorithms
An Abstraction Model for Semantic Segmentation Algorithms
Reihaneh Teymoori
Zahra Nabizadeh
N. Karimi
S. Samavi
SSegVLM
41
1
0
27 Dec 2019
Adversarial AutoAugment
Adversarial AutoAugment
Xinyu Zhang
Qiang-qiang Wang
Jian Zhang
Zhaobai Zhong
AAML
86
198
0
24 Dec 2019
What Else Can Fool Deep Learning? Addressing Color Constancy Errors on
  Deep Neural Network Performance
What Else Can Fool Deep Learning? Addressing Color Constancy Errors on Deep Neural Network Performance
Mahmoud Afifi
M. Brown
AAML
84
115
0
15 Dec 2019
Selective Synthetic Augmentation with Quality Assurance
Selective Synthetic Augmentation with Quality Assurance
Yuan Xue
Jiarong Ye
L. R. Long
Sameer Kiran Antani
Z. Xue
Xiaolei Huang
MedIm
50
4
0
09 Dec 2019
BERT for Large-scale Video Segment Classification with Test-time
  Augmentation
BERT for Large-scale Video Segment Classification with Test-time Augmentation
Tianqi Liu
Qizhan Shao
57
4
0
02 Dec 2019
Training the Convolutional Neural Network with Statistical Dependence of
  the Response on the Input Data Distortion
Training the Convolutional Neural Network with Statistical Dependence of the Response on the Input Data Distortion
I. Janiszewski
Dmitry Slugin
V. Arlazarov
GAN
8
0
0
02 Dec 2019
Increasing Generality in Machine Learning through Procedural Content
  Generation
Increasing Generality in Machine Learning through Procedural Content Generation
S. Risi
Julian Togelius
67
127
0
29 Nov 2019
Data Augmentation Using Adversarial Training for Construction-Equipment
  Classification
Data Augmentation Using Adversarial Training for Construction-Equipment Classification
Francis Baek
Somin Park
Hyoungkwan Kim
GAN
26
5
0
27 Nov 2019
Implementation of Optical Deep Neural Networks using the Fabry-Perot
  Interferometer
Implementation of Optical Deep Neural Networks using the Fabry-Perot Interferometer
Benjamin D. Steel
48
0
0
22 Nov 2019
Projection-to-Projection Translation for Hybrid X-ray and Magnetic
  Resonance Imaging
Projection-to-Projection Translation for Hybrid X-ray and Magnetic Resonance Imaging
Bernhard Stimpel
Christopher Syben
Tobias Würfl
Katharina Breininger
P. Hoelter
Arnd Dörfler
Andreas Maier
MedIm
44
9
0
19 Nov 2019
Countering Inconsistent Labelling by Google's Vision API for Rotated
  Images
Countering Inconsistent Labelling by Google's Vision API for Rotated Images
Aman Apte
A. Bandyopadhyay
K. Shenoy
Jason Peter Andrews
Aditya Rathod
Manish Agnihotri
Aditya Jajodia
38
1
0
17 Nov 2019
QC-Automator: Deep Learning-based Automated Quality Control for
  Diffusion MR Images
QC-Automator: Deep Learning-based Automated Quality Control for Diffusion MR Images
Zahra Riahi Samani
J. A. Alappatt
D. Parker
A. A. O. Ismail
R. Verma
MedIm
66
32
0
15 Nov 2019
SeismoGen: Seismic Waveform Synthesis Using Generative Adversarial
  Networks
SeismoGen: Seismic Waveform Synthesis Using Generative Adversarial Networks
Tiantong Wang
D. Trugman
Youzuo Lin
GAN
33
3
0
10 Nov 2019
Deep Learning vs. Traditional Computer Vision
Deep Learning vs. Traditional Computer Vision
Niall O' Mahony
S. Campbell
A. Carvalho
S. Harapanahalli
G. Velasco-Hernández
L. Krpalkova
Daniel Riordan
Joseph Walsh
VLM
91
909
0
30 Oct 2019
MIScnn: A Framework for Medical Image Segmentation with Convolutional
  Neural Networks and Deep Learning
MIScnn: A Framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning
Dominik Muller
Frank Kramer
49
120
0
21 Oct 2019
Automatic Data Augmentation by Learning the Deterministic Policy
Yinghuan Shi
Tiexin Qin
Yong Liu
Jiwen Lu
Yang Gao
Dinggang Shen
46
4
0
18 Oct 2019
Generative Image Translation for Data Augmentation in Colorectal
  Histopathology Images
Generative Image Translation for Data Augmentation in Colorectal Histopathology Images
Jerry W. Wei
A. Suriawinata
L. Vaickus
Bing Ren
Xiaoying Liu
Jason W. Wei
Saeed Hassanpour
GANMedIm
57
73
0
13 Oct 2019
Cross-Domain Image Classification through Neural-Style Transfer Data
  Augmentation
Cross-Domain Image Classification through Neural-Style Transfer Data Augmentation
Yijie Xu
A. Goel
ViT
42
4
0
12 Oct 2019
Orchestrating the Development Lifecycle of Machine Learning-Based IoT
  Applications: A Taxonomy and Survey
Orchestrating the Development Lifecycle of Machine Learning-Based IoT Applications: A Taxonomy and Survey
Bin Qian
Jie Su
Z. Wen
D. N. Jha
Yinhao Li
...
Albert Y. Zomaya
Omer F. Rana
Lizhe Wang
Maciej Koutny
R. Ranjan
71
4
0
11 Oct 2019
A Generative Approach Towards Improved Robotic Detection of Marine
  Litter
A Generative Approach Towards Improved Robotic Detection of Marine Litter
Jungseok Hong
Michael Fulton
Junaed Sattar
34
22
0
10 Oct 2019
Automatic Fact-guided Sentence Modification
Automatic Fact-guided Sentence Modification
Darsh J. Shah
Tal Schuster
Regina Barzilay
KELM
79
40
0
30 Sep 2019
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
400
3,518
0
30 Sep 2019
Automatically Learning Data Augmentation Policies for Dialogue Tasks
Automatically Learning Data Augmentation Policies for Dialogue Tasks
Tong Niu
Joey Tianyi Zhou
84
39
0
27 Sep 2019
Unsupervised Image Translation using Adversarial Networks for Improved
  Plant Disease Recognition
Unsupervised Image Translation using Adversarial Networks for Improved Plant Disease Recognition
H. Nazki
Sook Yoon
A. Fuentes
D. Park
GANMedIm
54
157
0
26 Sep 2019
Regularising Deep Networks with Deep Generative Models
Regularising Deep Networks with Deep Generative Models
M. Willetts
A. Camuto
Stephen J. Roberts
Chris Holmes
UQCV
22
0
0
25 Sep 2019
Using Priming to Uncover the Organization of Syntactic Representations
  in Neural Language Models
Using Priming to Uncover the Organization of Syntactic Representations in Neural Language Models
Grusha Prasad
Marten van Schijndel
Tal Linzen
79
52
0
23 Sep 2019
Adversarial Learning of General Transformations for Data Augmentation
Adversarial Learning of General Transformations for Data Augmentation
Saypraseuth Mounsaveng
David Vazquez
Ismail Ben Ayed
M. Pedersoli
43
10
0
21 Sep 2019
A Survey of Techniques All Classifiers Can Learn from Deep Networks:
  Models, Optimizations, and Regularization
A Survey of Techniques All Classifiers Can Learn from Deep Networks: Models, Optimizations, and Regularization
Alireza Ghods
D. Cook
33
1
0
10 Sep 2019
STaDA: Style Transfer as Data Augmentation
STaDA: Style Transfer as Data Augmentation
Xu Zheng
Tejo Chalasani
Koustav Ghosal
Sebastian Lutz
A. Smolic
60
63
0
03 Sep 2019
Dynamic Stale Synchronous Parallel Distributed Training for Deep
  Learning
Dynamic Stale Synchronous Parallel Distributed Training for Deep Learning
Xing Zhao
Aijun An
Junfeng Liu
Bin Chen
67
57
0
16 Aug 2019
A Survey on Deep Learning of Small Sample in Biomedical Image Analysis
A Survey on Deep Learning of Small Sample in Biomedical Image Analysis
Pengyi Zhang
Yunxin Zhong
Yulin Deng
Xiaoying Tang
Xiaoqiong Li
69
32
0
01 Aug 2019
Safe Augmentation: Learning Task-Specific Transformations from Data
Safe Augmentation: Learning Task-Specific Transformations from Data
Irynei Baran
Orest Kupyn
A. Kravchenko
18
2
0
30 Jul 2019
Improving Malaria Parasite Detection from Red Blood Cell using Deep
  Convolutional Neural Networks
Improving Malaria Parasite Detection from Red Blood Cell using Deep Convolutional Neural Networks
Aimon Rahman
H. Zunair
Mohammad Sohel Rahman
Jesia Quader Yuki
S. Biswas
Md. Ashraful Alam
N. Alam
M. Mahdy
120
57
0
23 Jul 2019
The Effect of Visual Design in Image Classification
The Effect of Visual Design in Image Classification
N. Cohen
T. Balch
Manuela Veloso
20
4
0
22 Jul 2019
Data Augmentation for Instrument Classification Robust to Audio Effects
Data Augmentation for Instrument Classification Robust to Audio Effects
António Ramires
Xavier Serra
29
8
0
19 Jul 2019
Quick, Stat!: A Statistical Analysis of the Quick, Draw! Dataset
Quick, Stat!: A Statistical Analysis of the Quick, Draw! Dataset
Jennifer J. Gago
J. Victores
Ugo Pattacini
C. Balaguer
42
10
0
15 Jul 2019
Void region segmentation in ball grid array using u-net approach and
  synthetic data
Void region segmentation in ball grid array using u-net approach and synthetic data
Vijay Kumar Neeluru
Vikas Ahuja
23
3
0
07 Jul 2019
Learning Data Augmentation Strategies for Object Detection
Learning Data Augmentation Strategies for Object Detection
Barret Zoph
E. D. Cubuk
Golnaz Ghiasi
Nayeon Lee
Jonathon Shlens
Quoc V. Le
108
534
0
26 Jun 2019
Further advantages of data augmentation on convolutional neural networks
Further advantages of data augmentation on convolutional neural networks
Alex Hernández-García
Peter König
70
108
0
26 Jun 2019
Image to Images Translation for Multi-Task Organ Segmentation and Bone
  Suppression in Chest X-Ray Radiography
Image to Images Translation for Multi-Task Organ Segmentation and Bone Suppression in Chest X-Ray Radiography
M. Eslami
Solale Tabarestani
Shadi Albarqouni
Ehsan Adeli
Nassir Navab
M. Adjouadi
MedIm
119
80
0
24 Jun 2019
SMILES-X: autonomous molecular compounds characterization for small
  datasets without descriptors
SMILES-X: autonomous molecular compounds characterization for small datasets without descriptors
G. Lambard
Ekaterina Gracheva
71
21
0
20 Jun 2019
A Meta Approach to Defend Noisy Labels by the Manifold Regularizer PSDR
A Meta Approach to Defend Noisy Labels by the Manifold Regularizer PSDR
Pengfei Chen
B. Liao
Guangyong Chen
Shengyu Zhang
NoLa
52
8
0
13 Jun 2019
Suppressing Model Overfitting for Image Super-Resolution Networks
Suppressing Model Overfitting for Image Super-Resolution Networks
Ruicheng Feng
Jinjin Gu
Yu Qiao
Chao Dong
SupR
56
39
0
11 Jun 2019
Hierarchical Auxiliary Learning
Hierarchical Auxiliary Learning
Jaehoon Cha
Kyeong Soo Kim
Sanghyuk Lee
31
4
0
03 Jun 2019
Towards Practical Indoor Positioning Based on Massive MIMO Systems
Towards Practical Indoor Positioning Based on Massive MIMO Systems
Mark S. Widmaier
Maximilian Arnold
Sebastian Dörner
Sebastian Cammerer
S. Brink
52
27
0
28 May 2019
Implicit Rugosity Regularization via Data Augmentation
Implicit Rugosity Regularization via Data Augmentation
Daniel LeJeune
Randall Balestriero
Hamid Javadi
Richard G. Baraniuk
61
4
0
28 May 2019
Style transfer-based image synthesis as an efficient regularization
  technique in deep learning
Style transfer-based image synthesis as an efficient regularization technique in deep learning
Agnieszka Mikołajczyk
M. Grochowski
OOD
112
23
0
27 May 2019
Style Transfer with Time Series: Generating Synthetic Financial Data
Style Transfer with Time Series: Generating Synthetic Financial Data
B. Silva
S. S. Shi
OODAI4TS
51
12
0
24 May 2019
EEG Classification by factoring in Sensor Configuration
EEG Classification by factoring in Sensor Configuration
Lubna Shibly Mokatren
R. Ansari
Ahmet Enis Cetin
Alex Leow
H. Klumpp
O. Ajilore
Fatoş T. Yarman Vural
16
2
0
22 May 2019
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