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Understanding data augmentation for classification: when to warp?

Understanding data augmentation for classification: when to warp?

28 September 2016
S. Wong
Adam Gatt
V. Stamatescu
Mark D Mcdonnell
ArXivPDFHTML

Papers citing "Understanding data augmentation for classification: when to warp?"

40 / 40 papers shown
Title
Color-$S^{4}L$: Self-supervised Semi-supervised Learning with Image
  Colorization
Color-S4LS^{4}LS4L: Self-supervised Semi-supervised Learning with Image Colorization
Hanxiao Chen
SSL
VLM
14
2
0
08 Jan 2024
Enhancing Face Recognition with Latent Space Data Augmentation and
  Facial Posture Reconstruction
Enhancing Face Recognition with Latent Space Data Augmentation and Facial Posture Reconstruction
Soroush Hashemifar
Abdolreza Marefat
Javad Hassannataj Joloudari
H. Hassanpour
CVBM
31
11
0
27 Jan 2023
CAD2Render: A Modular Toolkit for GPU-accelerated Photorealistic
  Synthetic Data Generation for the Manufacturing Industry
CAD2Render: A Modular Toolkit for GPU-accelerated Photorealistic Synthetic Data Generation for the Manufacturing Industry
Steven Moonen
Bram Vanherle
Joris de Hoog
T. Bourgana
A. Bey-Temsamani
Nick Michiels
19
14
0
25 Nov 2022
A Comprehensive Survey of Data Augmentation in Visual Reinforcement
  Learning
A Comprehensive Survey of Data Augmentation in Visual Reinforcement Learning
Guozheng Ma
Zhen Wang
Zhecheng Yuan
Xueqian Wang
Bo Yuan
Dacheng Tao
OffRL
35
26
0
10 Oct 2022
Deep Cross-Modality and Resolution Graph Integration for Universal Brain
  Connectivity Mapping and Augmentation
Deep Cross-Modality and Resolution Graph Integration for Universal Brain Connectivity Mapping and Augmentation
Ece Cinar
Sinem Elif Haseki
Alaa Bessadok
I. Rekik
21
2
0
13 Sep 2022
Synthetic Data -- what, why and how?
Synthetic Data -- what, why and how?
James Jordon
Lukasz Szpruch
F. Houssiau
M. Bottarelli
Giovanni Cherubin
Carsten Maple
Samuel N. Cohen
Adrian Weller
40
109
0
06 May 2022
A Comprehensive Survey of Image Augmentation Techniques for Deep
  Learning
A Comprehensive Survey of Image Augmentation Techniques for Deep Learning
Mingle Xu
Sook Yoon
A. Fuentes
D. Park
VLM
24
397
0
03 May 2022
Generative Adversarial Networks for Image Augmentation in Agriculture: A
  Systematic Review
Generative Adversarial Networks for Image Augmentation in Agriculture: A Systematic Review
E. Olaniyi
Dong Chen
Yuzhen Lu
Ya-Yu Huang
21
38
0
10 Apr 2022
Adversarially Robust Models may not Transfer Better: Sufficient
  Conditions for Domain Transferability from the View of Regularization
Adversarially Robust Models may not Transfer Better: Sufficient Conditions for Domain Transferability from the View of Regularization
Xiaojun Xu
Jacky Y. Zhang
Evelyn Ma
Danny Son
Oluwasanmi Koyejo
Bo-wen Li
20
10
0
03 Feb 2022
Invariance encoding in sliced-Wasserstein space for image classification
  with limited training data
Invariance encoding in sliced-Wasserstein space for image classification with limited training data
M. Shifat-E.-Rabbi
Yan Zhuang
Shiying Li
A. Rubaiyat
Xuwang Yin
Gustavo K. Rohde
22
9
0
09 Jan 2022
Data Augmentation for Depression Detection Using Skeleton-Based Gait
  Information
Data Augmentation for Depression Detection Using Skeleton-Based Gait Information
Jingjing Yang
Hai Lu
Chengming Li
Xiping Hu
Bin Hu
CVBM
40
13
0
04 Jan 2022
Solving the Class Imbalance Problem Using a Counterfactual Method for
  Data Augmentation
Solving the Class Imbalance Problem Using a Counterfactual Method for Data Augmentation
M. Temraz
Markt. Keane
21
42
0
05 Nov 2021
Enhanced Seq2Seq Autoencoder via Contrastive Learning for Abstractive
  Text Summarization
Enhanced Seq2Seq Autoencoder via Contrastive Learning for Abstractive Text Summarization
Chujie Zheng
Kunpeng Zhang
Harry J. Wang
Ling Fan
Zhe Wang
25
6
0
26 Aug 2021
Influence-guided Data Augmentation for Neural Tensor Completion
Influence-guided Data Augmentation for Neural Tensor Completion
Sejoon Oh
Sungchul Kim
Ryan A. Rossi
Srijan Kumar
22
10
0
23 Aug 2021
How to avoid machine learning pitfalls: a guide for academic researchers
How to avoid machine learning pitfalls: a guide for academic researchers
M. Lones
VLM
FaML
OnRL
62
77
0
05 Aug 2021
A Survey on Data Augmentation for Text Classification
A Survey on Data Augmentation for Text Classification
Markus Bayer
M. Kaufhold
Christian A. Reuter
36
334
0
07 Jul 2021
Meta-learning for skin cancer detection using Deep Learning Techniques
Meta-learning for skin cancer detection using Deep Learning Techniques
S. García
24
8
0
21 Apr 2021
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
27
4
0
02 Dec 2020
Industrial object, machine part and defect recognition towards fully
  automated industrial monitoring employing deep learning. The case of
  multilevel VGG19
Industrial object, machine part and defect recognition towards fully automated industrial monitoring employing deep learning. The case of multilevel VGG19
Ioannis D. Apostolopoulos
Mpesiana A. Tzani
22
30
0
23 Nov 2020
Predicting Hydroxyl Mediated Nucleophilic Degradation and Molecular
  Stability of RNA Sequences through the Application of Deep Learning Methods
Predicting Hydroxyl Mediated Nucleophilic Degradation and Molecular Stability of RNA Sequences through the Application of Deep Learning Methods
Ankita Singhal
12
4
0
09 Nov 2020
Introducing and Applying Newtonian Blurring: An Augmented Dataset of
  126,000 Human Connectomes at braingraph.org
Introducing and Applying Newtonian Blurring: An Augmented Dataset of 126,000 Human Connectomes at braingraph.org
L. Keresztes
Evelin Szögi
Bálint Varga
V. Grolmusz
12
4
0
19 Oct 2020
Scenic: A Language for Scenario Specification and Data Generation
Scenic: A Language for Scenario Specification and Data Generation
Daniel J. Fremont
Edward J. Kim
T. Dreossi
Shromona Ghosh
Xiangyu Yue
Alberto L. Sangiovanni-Vincentelli
S. Seshia
27
97
0
13 Oct 2020
Complex Wavelet SSIM based Image Data Augmentation
Complex Wavelet SSIM based Image Data Augmentation
Ritin Raveendran
A. Singh
M. RajeshKumar
15
1
0
11 Jul 2020
On Data Augmentation for GAN Training
On Data Augmentation for GAN Training
Ngoc-Trung Tran
Viet-Hung Tran
Ngoc-Bao Nguyen
Trung-Kien Nguyen
Ngai-man Cheung
MedIm
18
35
0
09 Jun 2020
SSM-Net for Plants Disease Identification in Low Data Regime
SSM-Net for Plants Disease Identification in Low Data Regime
Shruti Jadon
20
21
0
27 May 2020
Do CNNs Encode Data Augmentations?
Do CNNs Encode Data Augmentations?
Eddie Q. Yan
Yanping Huang
OOD
13
5
0
29 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
25
19
0
28 Jan 2020
LS-Net: Fast Single-Shot Line-Segment Detector
LS-Net: Fast Single-Shot Line-Segment Detector
Van Nhan Nguyen
Robert Jenssen
D. Roverso
16
51
0
19 Dec 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
21
152
0
26 Sep 2019
FoodTracker: A Real-time Food Detection Mobile Application by Deep
  Convolutional Neural Networks
FoodTracker: A Real-time Food Detection Mobile Application by Deep Convolutional Neural Networks
Jianing Sun
K. Radecka
Z. Zilic
HAI
19
19
0
13 Sep 2019
Survey on Deep Neural Networks in Speech and Vision Systems
Survey on Deep Neural Networks in Speech and Vision Systems
M. Alam
Manar D. Samad
Lasitha Vidyaratne
Alexander M. Glandon
Khan M. Iftekharuddin
3DV
VLM
AI4TS
34
205
0
16 Aug 2019
AutoML: A Survey of the State-of-the-Art
AutoML: A Survey of the State-of-the-Art
Xin He
Kaiyong Zhao
X. Chu
20
1,419
0
02 Aug 2019
Assessing Post Deletion in Sina Weibo: Multi-modal Classification of Hot
  Topics
Assessing Post Deletion in Sina Weibo: Multi-modal Classification of Hot Topics
Meisam Navaki Arefi
Rajkumar Pandi
Michael Carl Tschantz
Jedidiah R. Crandall
King-wa Fu
Dahlia Qiu Shi
Miao Sha
18
8
0
26 Jun 2019
Exploiting Synthetically Generated Data with Semi-Supervised Learning
  for Small and Imbalanced Datasets
Exploiting Synthetically Generated Data with Semi-Supervised Learning for Small and Imbalanced Datasets
Maria Perez-Ortiz
Peter Tiño
Rafał K. Mantiuk
C. Hervás‐Martínez
21
16
0
24 Mar 2019
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
12
1
0
19 Oct 2018
Scenic: A Language for Scenario Specification and Scene Generation
Scenic: A Language for Scenario Specification and Scene Generation
Daniel J. Fremont
T. Dreossi
Shromona Ghosh
Xiangyu Yue
Alberto L. Sangiovanni-Vincentelli
S. Seshia
36
245
0
25 Sep 2018
Using Machine Learning Safely in Automotive Software: An Assessment and
  Adaption of Software Process Requirements in ISO 26262
Using Machine Learning Safely in Automotive Software: An Assessment and Adaption of Software Process Requirements in ISO 26262
Rick Salay
Krzysztof Czarnecki
19
69
0
05 Aug 2018
DIY Human Action Data Set Generation
DIY Human Action Data Set Generation
Mehran Khodabandeh
Hamid Reza Vaezi Joze
Ilya Zharkov
V. Pradeep
21
11
0
29 Mar 2018
Hydra: an Ensemble of Convolutional Neural Networks for Geospatial Land
  Classification
Hydra: an Ensemble of Convolutional Neural Networks for Geospatial Land Classification
Rodrigo Minetto
Maurício Pamplona Segundo
Sudeep Sarkar
28
132
0
10 Feb 2018
A Review on Deep Learning Techniques Applied to Semantic Segmentation
A Review on Deep Learning Techniques Applied to Semantic Segmentation
Alberto Garcia-Garcia
Sergio Orts
Sergiu Oprea
Victor Villena-Martinez
Jose Garcia-Rodriguez
3DV
SSeg
34
1,267
0
22 Apr 2017
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