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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
EmgAuth: Unlocking Smartphones with EMG Signals
EmgAuth: Unlocking Smartphones with EMG Signals
Boyu Fan
Xiang Su
Jian Niu
Pan Hui
65
7
0
21 Mar 2021
LabelGit: A Dataset for Software Repositories Classification using
  Attributed Dependency Graphs
LabelGit: A Dataset for Software Repositories Classification using Attributed Dependency Graphs
Cezar Sas
A. Capiluppi
21
2
0
16 Mar 2021
Automatic detection of impact craters on Al foils from the Stardust
  interstellar dust collector using convolutional neural networks
Automatic detection of impact craters on Al foils from the Stardust interstellar dust collector using convolutional neural networks
Logan Jaeger
A. Butterworth
Z. Gainsforth
R. Lettieri
A. Ardizzone
...
P. Wozniakiewicz
R. Ogliore
B. D. Gregorio
R. Stroud
A. Westphal
29
1
0
15 Mar 2021
Performance of a Geometric Deep Learning Pipeline for HL-LHC Particle
  Tracking
Performance of a Geometric Deep Learning Pipeline for HL-LHC Particle Tracking
X. Ju
D. Murnane
P. Calafiura
Nicholas Choma
S. Conlon
...
Aditi Chauhan
A. Schuy
Shih-Chieh Hsu
A. Ballow
A. Lazar
50
65
0
11 Mar 2021
A Tree-based Model Averaging Approach for Personalized Treatment Effect
  Estimation from Heterogeneous Data Sources
A Tree-based Model Averaging Approach for Personalized Treatment Effect Estimation from Heterogeneous Data Sources
Xiaoqing Ellen Tan
Chung Chang
Ling Zhou
Lu Tang
CML
73
18
0
10 Mar 2021
Use of Transfer Learning and Wavelet Transform for Breast Cancer
  Detection
Use of Transfer Learning and Wavelet Transform for Breast Cancer Detection
Ahmed Rasheed
M. S. Younis
Junaid Qadir
Muhammad Bilal
MedIm
25
5
0
05 Mar 2021
Data Augmentation for Object Detection via Differentiable Neural
  Rendering
Data Augmentation for Object Detection via Differentiable Neural Rendering
G. Ning
Guang Chen
Chaowei Tan
Si Luo
Liefeng Bo
Heng Huang
59
7
0
04 Mar 2021
GaNDLF: A Generally Nuanced Deep Learning Framework for Scalable
  End-to-End Clinical Workflows in Medical Imaging
GaNDLF: A Generally Nuanced Deep Learning Framework for Scalable End-to-End Clinical Workflows in Medical Imaging
Sarthak Pati
Siddhesh P. Thakur
İbrahim Ethem Hamamcı
Ujjwal Baid
Bhakti Baheti
...
D. Kontos
Alexandros Karargyris
Renato Umeton
Peter Mattson
Spyridon Bakas
LM&MAMedIm
152
45
0
26 Feb 2021
On the robustness of randomized classifiers to adversarial examples
On the robustness of randomized classifiers to adversarial examples
Rafael Pinot
Laurent Meunier
Florian Yger
Cédric Gouy-Pailler
Y. Chevaleyre
Jamal Atif
AAML
75
14
0
22 Feb 2021
Mine Your Own vieW: Self-Supervised Learning Through Across-Sample
  Prediction
Mine Your Own vieW: Self-Supervised Learning Through Across-Sample Prediction
Mehdi Azabou
M. G. Azar
Ran Liu
Chi-Heng Lin
Erik C. Johnson
...
Lindsey Kitchell
Keith B. Hengen
William R. Gray Roncal
Michal Valko
Eva L. Dyer
AI4TS
96
57
0
19 Feb 2021
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
93
60
0
07 Feb 2021
Sill-Net: Feature Augmentation with Separated Illumination
  Representation
Sill-Net: Feature Augmentation with Separated Illumination Representation
Hanwang Zhang
Zhong Cao
Ziang Yan
Changshui Zhang
112
26
0
06 Feb 2021
Fine-tuning deep learning model parameters for improved super-resolution
  of dynamic MRI with prior-knowledge
Fine-tuning deep learning model parameters for improved super-resolution of dynamic MRI with prior-knowledge
Chompunuch Sarasaen
S. Chatterjee
Mario Breitkopf
G. Rose
A. Nürnberger
Oliver Speck
SupR
61
35
0
04 Feb 2021
Neural Data Augmentation via Example Extrapolation
Neural Data Augmentation via Example Extrapolation
Kenton Lee
Kelvin Guu
Luheng He
Timothy Dozat
Hyung Won Chung
76
72
0
02 Feb 2021
ObjectAug: Object-level Data Augmentation for Semantic Image
  Segmentation
ObjectAug: Object-level Data Augmentation for Semantic Image Segmentation
Jiawei Zhang
Yanchun Zhang
Xiaowei Xu
30
31
0
30 Jan 2021
Spatio-temporal Data Augmentation for Visual Surveillance
Spatio-temporal Data Augmentation for Visual Surveillance
Jae-Yeul Kim
J. Ha
47
5
0
25 Jan 2021
Class balanced underwater object detection dataset generated by
  class-wise style augmentation
Class balanced underwater object detection dataset generated by class-wise style augmentation
Long Chen
Junyu Dong
Huiyu Zhou
14
3
0
20 Jan 2021
Deep Reinforcement Learning Optimizes Graphene Nanopores for Efficient
  Desalination
Deep Reinforcement Learning Optimizes Graphene Nanopores for Efficient Desalination
Yuyang Wang
Zhonglin Cao
Amir Barati Farimani
AI4CE
96
61
0
19 Jan 2021
On Data-Augmentation and Consistency-Based Semi-Supervised Learning
On Data-Augmentation and Consistency-Based Semi-Supervised Learning
Atin Ghosh
Alexandre Hoang Thiery
132
21
0
18 Jan 2021
Sequential IoT Data Augmentation using Generative Adversarial Networks
Sequential IoT Data Augmentation using Generative Adversarial Networks
M. Tschuchnig
Cornelia Ferner
S. Wegenkittl
34
9
0
13 Jan 2021
A Four-Stage Data Augmentation Approach to ResNet-Conformer Based
  Acoustic Modeling for Sound Event Localization and Detection
A Four-Stage Data Augmentation Approach to ResNet-Conformer Based Acoustic Modeling for Sound Event Localization and Detection
Qing Wang
Jun Du
Hua-Xin Wu
Jia Pan
Feng Ma
Chin-Hui Lee
64
83
0
08 Jan 2021
Fast Ensemble Learning Using Adversarially-Generated Restricted
  Boltzmann Machines
Fast Ensemble Learning Using Adversarially-Generated Restricted Boltzmann Machines
Gustavo de Rosa
Mateus Roder
João Paulo Papa
OOD
25
1
0
04 Jan 2021
Adam revisited: a weighted past gradients perspective
Adam revisited: a weighted past gradients perspective
Hui Zhong
Zaiyi Chen
Chuan Qin
Zai Huang
V. Zheng
Tong Xu
Enhong Chen
ODL
73
41
0
01 Jan 2021
Tips and Tricks for Webly-Supervised Fine-Grained Recognition: Learning
  from the WebFG 2020 Challenge
Tips and Tricks for Webly-Supervised Fine-Grained Recognition: Learning from the WebFG 2020 Challenge
Xiu-Shen Wei
Yu-Yan Xu
Yazhou Yao
Jia Wei
Si Xi
...
Taolue Xue
Haipeng Jing
Zhiheng Wang
Tianming Zhang
Mingwen Zhang
32
0
0
29 Dec 2020
Data augmentation and image understanding
Data augmentation and image understanding
Alex Hernandez-Garcia
31
6
0
28 Dec 2020
Deep Evolutionary Learning for Molecular Design
Deep Evolutionary Learning for Molecular Design
Yifeng Li
H. K. Ooi
A. Tchagang
40
16
0
28 Dec 2020
Improving the Generalization of End-to-End Driving through Procedural
  Generation
Improving the Generalization of End-to-End Driving through Procedural Generation
Quanyi Li
Zhenghao Peng
Qihang Zhang
Chunxiao Liu
Bolei Zhou
79
17
0
26 Dec 2020
Generative Interventions for Causal Learning
Generative Interventions for Causal Learning
Chengzhi Mao
Augustine Cha
Amogh Gupta
Hongya Wang
Junfeng Yang
Carl Vondrick
CMLOOD
86
66
0
22 Dec 2020
Color Channel Perturbation Attacks for Fooling Convolutional Neural
  Networks and A Defense Against Such Attacks
Color Channel Perturbation Attacks for Fooling Convolutional Neural Networks and A Defense Against Such Attacks
Jayendra Kantipudi
S. Dubey
Soumendu Chakraborty
AAML
91
22
0
20 Dec 2020
TACTO: A Fast, Flexible, and Open-source Simulator for High-Resolution
  Vision-based Tactile Sensors
TACTO: A Fast, Flexible, and Open-source Simulator for High-Resolution Vision-based Tactile Sensors
Shaoxiong Wang
Mike Lambeta
Po-wei Chou
Roberto Calandra
90
144
0
15 Dec 2020
A Self-Supervised Feature Map Augmentation (FMA) Loss and Combined
  Augmentations Finetuning to Efficiently Improve the Robustness of CNNs
A Self-Supervised Feature Map Augmentation (FMA) Loss and Combined Augmentations Finetuning to Efficiently Improve the Robustness of CNNs
Nikhil Kapoor
C. Yuan
Jonas Löhdefink
Roland S. Zimmermann
Serin Varghese
Fabian Hüger
Nico M. Schmidt
Peter Schlicht
Tim Fingscheidt
AAML
39
4
0
02 Dec 2020
Multi-Stage CNN-Based Monocular 3D Vehicle Localization and Orientation
  Estimation
Multi-Stage CNN-Based Monocular 3D Vehicle Localization and Orientation Estimation
Ali Babolhavaeji
Mohammad Fanaei
3DPC
21
2
0
24 Nov 2020
Synthetic Image Rendering Solves Annotation Problem in Deep Learning
  Nanoparticle Segmentation
Synthetic Image Rendering Solves Annotation Problem in Deep Learning Nanoparticle Segmentation
L. Mill
David Wolff
Nele Gerrits
P. Philipp
L. Kling
...
J. Audinot
I. Nelissen
T. Wirtz
Andreas Maier
S. Christiansen
64
40
0
20 Nov 2020
GAN based ball screw drive picture database enlargement for failure
  classification
GAN based ball screw drive picture database enlargement for failure classification
T. Schlagenhauf
Chenwei Sun
J. Fleischer
AI4CE
21
0
0
20 Nov 2020
On tuning deep learning models: a data mining perspective
On tuning deep learning models: a data mining perspective
M. Öztürk
21
0
0
19 Nov 2020
DeepNAG: Deep Non-Adversarial Gesture Generation
DeepNAG: Deep Non-Adversarial Gesture Generation
M. Maghoumi
E. Taranta
J. Laviola
74
22
0
18 Nov 2020
Low-resource expressive text-to-speech using data augmentation
Low-resource expressive text-to-speech using data augmentation
Goeric Huybrechts
Thomas Merritt
Giulia Comini
Bartek Perz
Raahil Shah
Jaime Lorenzo-Trueba
68
53
0
11 Nov 2020
Multiscale Attention Guided Network for COVID-19 Diagnosis Using Chest
  X-ray Images
Multiscale Attention Guided Network for COVID-19 Diagnosis Using Chest X-ray Images
Jingxiong Li
Yaqi Wang
Shuai Wang
Jun Wang
Jun Liu
Qun Jin
Lingling Sun
22
1
0
11 Nov 2020
LADA: Look-Ahead Data Acquisition via Augmentation for Active Learning
LADA: Look-Ahead Data Acquisition via Augmentation for Active Learning
Yoon-Yeong Kim
Kyungwoo Song
Joonho Jang
Il-Chul Moon
22
4
0
09 Nov 2020
On the Performance of Convolutional Neural Networks under High and Low
  Frequency Information
On the Performance of Convolutional Neural Networks under High and Low Frequency Information
Roshan Reddy Yedla
S. Dubey
OOD
71
5
0
30 Oct 2020
Self-paced Data Augmentation for Training Neural Networks
Self-paced Data Augmentation for Training Neural Networks
Tomoumi Takase
Ryo Karakida
H. Asoh
59
17
0
29 Oct 2020
Automatic joint damage quantification using computer vision and deep
  learning
Automatic joint damage quantification using computer vision and deep learning
Quang Tran
J. Roesler
10
1
0
29 Oct 2020
Improving Text Relationship Modeling with Artificial Data
Improving Text Relationship Modeling with Artificial Data
Peter Organisciak
Maggie Ryan
60
1
0
27 Oct 2020
Deep Neural Mobile Networking
Deep Neural Mobile Networking
Chaoyun Zhang
74
1
0
23 Oct 2020
An Analysis of Simple Data Augmentation for Named Entity Recognition
An Analysis of Simple Data Augmentation for Named Entity Recognition
Xiang Dai
Heike Adel
120
198
0
22 Oct 2020
Image-based Automated Species Identification: Can Virtual Data
  Augmentation Overcome Problems of Insufficient Sampling?
Image-based Automated Species Identification: Can Virtual Data Augmentation Overcome Problems of Insufficient Sampling?
Morris Klasen
D. Ahrens
J. Eberle
Volker Steinhage
52
20
0
18 Oct 2020
Viewmaker Networks: Learning Views for Unsupervised Representation
  Learning
Viewmaker Networks: Learning Views for Unsupervised Representation Learning
Alex Tamkin
Mike Wu
Noah D. Goodman
SSL
131
64
0
14 Oct 2020
Discriminative Cross-Modal Data Augmentation for Medical Imaging
  Applications
Discriminative Cross-Modal Data Augmentation for Medical Imaging Applications
Yue Yang
P. Xie
MedIm
49
0
0
07 Oct 2020
How Effective is Task-Agnostic Data Augmentation for Pretrained
  Transformers?
How Effective is Task-Agnostic Data Augmentation for Pretrained Transformers?
Shayne Longpre
Yu Wang
Christopher DuBois
ViT
86
85
0
05 Oct 2020
COVID-19 Classification of X-ray Images Using Deep Neural Networks
COVID-19 Classification of X-ray Images Using Deep Neural Networks
Elisha Goldstein
Daphna Keidar
Daniel Yaron
Y. Shachar
Ayelet Blass
...
N. Bogot
A. Grubstein
N. Shabshin
Yishai M. Elyada
Yonina C. Eldar
49
67
0
03 Oct 2020
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