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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
ArXivPDFHTML

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

50 / 211 papers shown
Title
Generative Data Augmentation for Commonsense Reasoning
Generative Data Augmentation for Commonsense Reasoning
Yiben Yang
Chaitanya Malaviya
Jared Fernandez
Swabha Swayamdipta
Ronan Le Bras
Ji-ping Wang
Chandra Bhagavatula
Yejin Choi
Doug Downey
LRM
30
91
0
24 Apr 2020
A review: Deep learning for medical image segmentation using
  multi-modality fusion
A review: Deep learning for medical image segmentation using multi-modality fusion
Tongxue Zhou
S. Ruan
S. Canu
24
504
0
22 Apr 2020
OSLNet: Deep Small-Sample Classification with an Orthogonal Softmax
  Layer
OSLNet: Deep Small-Sample Classification with an Orthogonal Softmax Layer
Xiaoxu Li
Dongliang Chang
Zhanyu Ma
Zheng-Hua Tan
Jing-Hao Xue
Jie Cao
Jingyi Yu
Jun Guo
28
31
0
20 Apr 2020
Data augmentation using generative networks to identify dementia
Data augmentation using generative networks to identify dementia
B. Mirheidari
Yilin Pan
D. Blackburn
R. O'Malley
Traci Walker
A. Venneri
M. Reuber
H. Christensen
MedIm
18
4
0
13 Apr 2020
A Deep Learning Approach for Determining Effects of Tuta Absoluta in
  Tomato Plants
A Deep Learning Approach for Determining Effects of Tuta Absoluta in Tomato Plants
D. P. Rubanga
L. Loyani
Mgaya Richard
S. Shimada
28
13
0
08 Apr 2020
SuperMix: Supervising the Mixing Data Augmentation
SuperMix: Supervising the Mixing Data Augmentation
Ali Dabouei
Sobhan Soleymani
Fariborz Taherkhani
Nasser M. Nasrabadi
19
98
0
10 Mar 2020
A Neural Network Based Framework for Archetypical Sound Synthesis
A Neural Network Based Framework for Archetypical Sound Synthesis
E. Guizzo
A. Novello
11
0
0
06 Mar 2020
Model Assertions for Monitoring and Improving ML Models
Model Assertions for Monitoring and Improving ML Models
Daniel Kang
Deepti Raghavan
Peter Bailis
Matei A. Zaharia
16
58
0
03 Mar 2020
On Leveraging Pretrained GANs for Generation with Limited Data
On Leveraging Pretrained GANs for Generation with Limited Data
Miaoyun Zhao
Yulai Cong
Lawrence Carin
34
21
0
26 Feb 2020
LeafGAN: An Effective Data Augmentation Method for Practical Plant
  Disease Diagnosis
LeafGAN: An Effective Data Augmentation Method for Practical Plant Disease Diagnosis
Q. H. Cap
H. Uga
S. Kagiwada
Hitoshi Iyatomi
MedIm
27
144
0
24 Feb 2020
SIP-SegNet: A Deep Convolutional Encoder-Decoder Network for Joint
  Semantic Segmentation and Extraction of Sclera, Iris and Pupil based on
  Periocular Region Suppression
SIP-SegNet: A Deep Convolutional Encoder-Decoder Network for Joint Semantic Segmentation and Extraction of Sclera, Iris and Pupil based on Periocular Region Suppression
Bilal Hassan
Ramsha Ahmed
Taimur Hassan
Naoufel Werghi
40
17
0
15 Feb 2020
Using generative adversarial networks to synthesize artificial financial
  datasets
Using generative adversarial networks to synthesize artificial financial datasets
Dmitry Efimov
Di Xu
Luyang Kong
A. Nefedov
Archana Anandakrishnan
GAN
25
29
0
06 Feb 2020
Classification of Chest Diseases using Wavelet Transforms and Transfer
  Learning
Classification of Chest Diseases using Wavelet Transforms and Transfer Learning
Ahmed Rasheed
M. S. Younis
Muhammad Bilal
M. Rasheed
OOD
16
3
0
03 Feb 2020
TDEFSI: Theory Guided Deep Learning Based Epidemic Forecasting with
  Synthetic Information
TDEFSI: Theory Guided Deep Learning Based Epidemic Forecasting with Synthetic Information
Lijing Wang
Jiangzhuo Chen
Madhav Marathe
AI4TS
31
19
0
28 Jan 2020
Cross-Domain Few-Shot Classification via Learned Feature-Wise
  Transformation
Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation
Hung-Yu Tseng
Hsin-Ying Lee
Jia-Bin Huang
Ming-Hsuan Yang
32
387
0
23 Jan 2020
Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised
  Learning
Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning
Paola Cascante-Bonilla
Fuwen Tan
Yanjun Qi
Vicente Ordonez
ODL
47
23
0
16 Jan 2020
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
23
34
0
27 Dec 2019
Adversarial AutoAugment
Adversarial AutoAugment
Xinyu Zhang
Qiang-qiang Wang
Jian Zhang
Zhaobai Zhong
AAML
33
197
0
24 Dec 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
25
9
0
19 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
34
31
0
15 Nov 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
28
117
0
21 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
GAN
MedIm
27
72
0
13 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
25
21
0
10 Oct 2019
Automatic Fact-guided Sentence Modification
Automatic Fact-guided Sentence Modification
Darsh J. Shah
Tal Schuster
Regina Barzilay
KELM
18
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
114
3,423
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
26
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
GAN
MedIm
27
152
0
26 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
40
51
0
23 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
26
57
0
16 Aug 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
35
56
0
23 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
28
10
0
15 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
39
523
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
16
107
0
26 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
27
20
0
20 Jun 2019
Exploring Bias in GAN-based Data Augmentation for Small Samples
Exploring Bias in GAN-based Data Augmentation for Small Samples
Mengxiao Hu
Jinlong Li
14
20
0
21 May 2019
A Survey on Face Data Augmentation
A Survey on Face Data Augmentation
Xiang Wang
Kai Wang
Kai Wang
CVBM
20
130
0
26 Apr 2019
Improved visible to IR image transformation using synthetic data
  augmentation with cycle-consistent adversarial networks
Improved visible to IR image transformation using synthetic data augmentation with cycle-consistent adversarial networks
Kyongsik Yun
Kevin Yu
Joseph Osborne
S. Eldin
Luan Nguyen
Alexander Huyen
Thomas Lu
GAN
19
19
0
25 Apr 2019
Convolutional Neural Networks for Classification of Alzheimer's Disease:
  Overview and Reproducible Evaluation
Convolutional Neural Networks for Classification of Alzheimer's Disease: Overview and Reproducible Evaluation
Junhao Wen
Elina Thibeau-Sutre
Mauricio Diaz-Melo
J. Samper-González
A. Routier
Simona Bottani
Didier Dormont
S. Durrleman
Ninon Burgos
O. Colliot
30
507
0
16 Apr 2019
Crowding in humans is unlike that in convolutional neural networks
Crowding in humans is unlike that in convolutional neural networks
Ben Lonnqvist
A. Clarke
R. Chakravarthi
21
11
0
01 Mar 2019
SPDA: Superpixel-based Data Augmentation for Biomedical Image
  Segmentation
SPDA: Superpixel-based Data Augmentation for Biomedical Image Segmentation
Yizhe Zhang
Lin Yang
Hao Zheng
Peixian Liang
Colleen A. Mangold
R. Loreto
David P. Hughes
Danny Chen
MedIm
27
13
0
28 Feb 2019
Segmentation of Roots in Soil with U-Net
Segmentation of Roots in Soil with U-Net
Abraham George Smith
Jens Petersen
Raghavendra Selvan
C. Rasmussen
19
122
0
28 Feb 2019
Deep learning in bioinformatics: introduction, application, and
  perspective in big data era
Deep learning in bioinformatics: introduction, application, and perspective in big data era
Yu Li
Chao Huang
Lizhong Ding
Zhongxiao Li
Yijie Pan
Xin Gao
AI4CE
24
295
0
28 Feb 2019
Augmentation Scheme for Dealing with Imbalanced Network Traffic
  Classification Using Deep Learning
Augmentation Scheme for Dealing with Imbalanced Network Traffic Classification Using Deep Learning
Ramin Hasibi
Matin Shokri
M. Dehghan
20
34
0
01 Jan 2019
Skin Lesions Classification Using Convolutional Neural Networks in
  Clinical Images
Skin Lesions Classification Using Convolutional Neural Networks in Clinical Images
Danilo Barros Mendes
Nilton Correia da Silva
MedIm
22
46
0
06 Dec 2018
Neural Sign Language Translation based on Human Keypoint Estimation
Neural Sign Language Translation based on Human Keypoint Estimation
Sang-Ki Ko
Chang Jo Kim
Hyedong Jung
Choongsang Cho
SLR
30
207
0
28 Nov 2018
KekuleScope: prediction of cancer cell line sensitivity and compound
  potency using convolutional neural networks trained on compound images
KekuleScope: prediction of cancer cell line sensitivity and compound potency using convolutional neural networks trained on compound images
I. Cortés-Ciriano
A. Bender
MedIm
30
51
0
22 Nov 2018
Detecting cities in aerial night-time images by learning structural
  invariants using single reference augmentation
Detecting cities in aerial night-time images by learning structural invariants using single reference augmentation
P. Sadler
3DPC
15
1
0
19 Oct 2018
Wronging a Right: Generating Better Errors to Improve Grammatical Error
  Detection
Wronging a Right: Generating Better Errors to Improve Grammatical Error Detection
Sudhanshu Kasewa
Pontus Stenetorp
Sebastian Riedel
14
59
0
26 Sep 2018
Recent Advances in Object Detection in the Age of Deep Convolutional
  Neural Networks
Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks
Shivang Agarwal
Jean Ogier du Terrail
F. Jurie
ObjD
24
123
0
10 Sep 2018
Learning Invariances for Policy Generalization
Learning Invariances for Policy Generalization
Rémi Tachet des Combes
Philip Bachman
H. V. Seijen
20
12
0
07 Sep 2018
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