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Data Augmentation by Pairing Samples for Images Classification

Data Augmentation by Pairing Samples for Images Classification

9 January 2018
H. Inoue
ArXivPDFHTML

Papers citing "Data Augmentation by Pairing Samples for Images Classification"

50 / 145 papers shown
Title
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
Image Data Augmentation for Deep Learning: A Survey
Image Data Augmentation for Deep Learning: A Survey
Suorong Yang
Wei-Ting Xiao
Mengcheng Zhang
Suhan Guo
Jian Zhao
S. Furao
21
232
0
19 Apr 2022
Multi-Sample $ζ$-mixup: Richer, More Realistic Synthetic Samples
  from a $p$-Series Interpolant
Multi-Sample ζζζ-mixup: Richer, More Realistic Synthetic Samples from a ppp-Series Interpolant
Kumar Abhishek
Colin J. Brown
Ghassan Hamarneh
34
2
0
07 Apr 2022
EnvEdit: Environment Editing for Vision-and-Language Navigation
EnvEdit: Environment Editing for Vision-and-Language Navigation
Jialu Li
Hao Tan
Joey Tianyi Zhou
31
80
0
29 Mar 2022
Deep AutoAugment
Deep AutoAugment
Yu Zheng
Z. Zhang
Shen Yan
Mi Zhang
ViT
21
26
0
11 Mar 2022
TeachAugment: Data Augmentation Optimization Using Teacher Knowledge
TeachAugment: Data Augmentation Optimization Using Teacher Knowledge
Teppei Suzuki
ViT
21
48
0
25 Feb 2022
SODA: Self-organizing data augmentation in deep neural networks --
  Application to biomedical image segmentation tasks
SODA: Self-organizing data augmentation in deep neural networks -- Application to biomedical image segmentation tasks
Arnaud Deleruyelle
J. Klein
Cristian Versari
OOD
19
0
0
07 Feb 2022
Deep invariant networks with differentiable augmentation layers
Deep invariant networks with differentiable augmentation layers
Cédric Rommel
Thomas Moreau
Alexandre Gramfort
OOD
27
8
0
04 Feb 2022
Feature transforms for image data augmentation
Feature transforms for image data augmentation
L. Nanni
M. Paci
S. Brahnam
A. Lumini
27
19
0
24 Jan 2022
GenLabel: Mixup Relabeling using Generative Models
GenLabel: Mixup Relabeling using Generative Models
Jy-yong Sohn
Liang Shang
Hongxu Chen
Jaekyun Moon
Dimitris Papailiopoulos
Kangwook Lee
VLM
11
15
0
07 Jan 2022
MPViT: Multi-Path Vision Transformer for Dense Prediction
MPViT: Multi-Path Vision Transformer for Dense Prediction
Youngwan Lee
Jonghee Kim
Jeffrey Willette
Sung Ju Hwang
ViT
29
244
0
21 Dec 2021
DNA: Dynamic Network Augmentation
DNA: Dynamic Network Augmentation
Scott Mahan
T. Doster
Henry Kvinge
12
0
0
17 Dec 2021
Challenges of Adversarial Image Augmentations
Challenges of Adversarial Image Augmentations
Arno Blaas
Xavier Suau
Jason Ramapuram
N. Apostoloff
Luca Zappella
AAML
13
4
0
24 Nov 2021
On Data-centric Myths
On Data-centric Myths
Antonia Marcu
Adam Prugel-Bennett
17
5
0
22 Nov 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
28
10
0
23 Aug 2021
SegMix: Co-occurrence Driven Mixup for Semantic Segmentation and
  Adversarial Robustness
SegMix: Co-occurrence Driven Mixup for Semantic Segmentation and Adversarial Robustness
Md. Amirul Islam
M. Kowal
Konstantinos G. Derpanis
Neil D. B. Bruce
25
8
0
23 Aug 2021
A Visual Domain Transfer Learning Approach for Heartbeat Sound
  Classification
A Visual Domain Transfer Learning Approach for Heartbeat Sound Classification
Uddipan Mukherjee
Sidharth Pancholi
27
0
0
28 Jul 2021
An overview of mixing augmentation methods and augmentation strategies
An overview of mixing augmentation methods and augmentation strategies
Dominik Lewy
Jacek Mańdziuk
23
61
0
21 Jul 2021
Parametric Scattering Networks
Parametric Scattering Networks
Shanel Gauthier
Benjamin Thérien
Laurent Alsene-Racicot
Muawiz Chaudhary
Irina Rish
Eugene Belilovsky
Michael Eickenberg
Guy Wolf
24
16
0
20 Jul 2021
Augmented Data as an Auxiliary Plug-in Towards Categorization of
  Crowdsourced Heritage Data
Augmented Data as an Auxiliary Plug-in Towards Categorization of Crowdsourced Heritage Data
S. V. Kudari
Akshaykumar Gunari
Adarsh Jamadandi
R. Tabib
U. Mudenagudi
16
2
0
08 Jul 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
GuidedMix-Net: Learning to Improve Pseudo Masks Using Labeled Images as
  Reference
GuidedMix-Net: Learning to Improve Pseudo Masks Using Labeled Images as Reference
Peng Tu
Yawen Huang
Rongrong Ji
Feng Zheng
Ling Shao
13
7
0
29 Jun 2021
Efficient Deep Learning: A Survey on Making Deep Learning Models
  Smaller, Faster, and Better
Efficient Deep Learning: A Survey on Making Deep Learning Models Smaller, Faster, and Better
Gaurav Menghani
VLM
MedIm
23
366
0
16 Jun 2021
Survey: Image Mixing and Deleting for Data Augmentation
Survey: Image Mixing and Deleting for Data Augmentation
Humza Naveed
Saeed Anwar
Munawar Hayat
Kashif Javed
Ajmal Mian
38
78
0
13 Jun 2021
EventDrop: data augmentation for event-based learning
EventDrop: data augmentation for event-based learning
Fuqiang Gu
Weicong Sng
Xuke Hu
Fei Yu
24
37
0
07 Jun 2021
An End-to-End Breast Tumour Classification Model Using Context-Based
  Patch Modelling- A BiLSTM Approach for Image Classification
An End-to-End Breast Tumour Classification Model Using Context-Based Patch Modelling- A BiLSTM Approach for Image Classification
S. Tripathi
S. Singh
H. Lee
21
43
0
05 Jun 2021
Inspect, Understand, Overcome: A Survey of Practical Methods for AI
  Safety
Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety
Sebastian Houben
Stephanie Abrecht
Maram Akila
Andreas Bär
Felix Brockherde
...
Serin Varghese
Michael Weber
Sebastian J. Wirkert
Tim Wirtz
Matthias Woehrle
AAML
13
58
0
29 Apr 2021
EmergencyNet: Efficient Aerial Image Classification for Drone-Based
  Emergency Monitoring Using Atrous Convolutional Feature Fusion
EmergencyNet: Efficient Aerial Image Classification for Drone-Based Emergency Monitoring Using Atrous Convolutional Feature Fusion
C. Kyrkou
T. Theocharides
40
130
0
28 Apr 2021
Epsilon Consistent Mixup: Structural Regularization with an Adaptive
  Consistency-Interpolation Tradeoff
Epsilon Consistent Mixup: Structural Regularization with an Adaptive Consistency-Interpolation Tradeoff
Vincent Pisztora
Yanglan Ou
Xiaolei Huang
Francesca Chiaromonte
Jia Li
40
1
0
19 Apr 2021
Direct Differentiable Augmentation Search
Direct Differentiable Augmentation Search
Aoming Liu
Zehao Huang
Zhiwu Huang
Naiyan Wang
27
33
0
09 Apr 2021
AlignMixup: Improving Representations By Interpolating Aligned Features
AlignMixup: Improving Representations By Interpolating Aligned Features
Shashanka Venkataramanan
Ewa Kijak
Laurent Amsaleg
Yannis Avrithis
WSOL
33
61
0
29 Mar 2021
DivAug: Plug-in Automated Data Augmentation with Explicit Diversity
  Maximization
DivAug: Plug-in Automated Data Augmentation with Explicit Diversity Maximization
Zirui Liu
Haifeng Jin
Ting-Hsiang Wang
Kaixiong Zhou
Xia Hu
16
23
0
26 Mar 2021
MixMo: Mixing Multiple Inputs for Multiple Outputs via Deep Subnetworks
MixMo: Mixing Multiple Inputs for Multiple Outputs via Deep Subnetworks
Alexandre Ramé
Rémy Sun
Matthieu Cord
UQCV
37
60
0
10 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
31
6
0
04 Mar 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
13
26
0
06 Feb 2021
Colonoscopy Polyp Detection: Domain Adaptation From Medical Report
  Images to Real-time Videos
Colonoscopy Polyp Detection: Domain Adaptation From Medical Report Images to Real-time Videos
Zhi-Qin Zhan
Huazhu Fu
Yan-Yao Yang
Jingjing Chen
Jie Liu
Yu-Gang Jiang
11
1
0
31 Dec 2020
SyNet: An Ensemble Network for Object Detection in UAV Images
SyNet: An Ensemble Network for Object Detection in UAV Images
Mert Albaba
S. Ozer
ObjD
26
32
0
23 Dec 2020
SnapMix: Semantically Proportional Mixing for Augmenting Fine-grained
  Data
SnapMix: Semantically Proportional Mixing for Augmenting Fine-grained Data
Shaoli Huang
Xinchao Wang
Dacheng Tao
19
115
0
09 Dec 2020
Neural Semi-supervised Learning for Text Classification Under
  Large-Scale Pretraining
Neural Semi-supervised Learning for Text Classification Under Large-Scale Pretraining
Zijun Sun
Chun Fan
Xiaofei Sun
Yuxian Meng
Fei Wu
Jiwei Li
27
9
0
17 Nov 2020
SapAugment: Learning A Sample Adaptive Policy for Data Augmentation
SapAugment: Learning A Sample Adaptive Policy for Data Augmentation
Ting-Yao Hu
A. Shrivastava
Jen-Hao Rick Chang
H. Koppula
Stefan Braun
Kyuyeon Hwang
Ozlem Kalinli
Oncel Tuzel
11
16
0
02 Nov 2020
Image Obfuscation for Privacy-Preserving Machine Learning
Image Obfuscation for Privacy-Preserving Machine Learning
Mathilde Raynal
R. Achanta
Mathias Humbert
38
13
0
20 Oct 2020
Ferrograph image classification
Ferrograph image classification
Peng Peng
Jiugen Wang
9
1
0
14 Oct 2020
Learning to Recombine and Resample Data for Compositional Generalization
Learning to Recombine and Resample Data for Compositional Generalization
Ekin Akyürek
Afra Feyza Akyürek
Jacob Andreas
24
79
0
08 Oct 2020
Improving Auto-Augment via Augmentation-Wise Weight Sharing
Improving Auto-Augment via Augmentation-Wise Weight Sharing
Keyu Tian
Chen Lin
Ming-hui Sun
Luping Zhou
Junjie Yan
Wanli Ouyang
15
48
0
30 Sep 2020
A physics-informed operator regression framework for extracting
  data-driven continuum models
A physics-informed operator regression framework for extracting data-driven continuum models
Ravi G. Patel
N. Trask
M. Wood
E. Cyr
AI4CE
11
103
0
25 Sep 2020
PK-GCN: Prior Knowledge Assisted Image Classification using Graph
  Convolution Networks
PK-GCN: Prior Knowledge Assisted Image Classification using Graph Convolution Networks
Xueli Xiao
Chunyan Ji
Thosini Bamunu Mudiyanselage
Yi Pan
GNN
SSL
9
3
0
24 Sep 2020
Addressing Neural Network Robustness with Mixup and Targeted Labeling
  Adversarial Training
Addressing Neural Network Robustness with Mixup and Targeted Labeling Adversarial Training
Alfred Laugros
A. Caplier
Matthieu Ospici
AAML
19
19
0
19 Aug 2020
Feature Binding with Category-Dependant MixUp for Semantic Segmentation
  and Adversarial Robustness
Feature Binding with Category-Dependant MixUp for Semantic Segmentation and Adversarial Robustness
Md. Amirul Islam
M. Kowal
Konstantinos G. Derpanis
Neil D. B. Bruce
6
7
0
13 Aug 2020
Part-Aware Data Augmentation for 3D Object Detection in Point Cloud
Part-Aware Data Augmentation for 3D Object Detection in Point Cloud
Jaeseok Choi
Yeji Song
Nojun Kwak
3DPC
35
63
0
27 Jul 2020
Deep Learning Methods for Solving Linear Inverse Problems: Research
  Directions and Paradigms
Deep Learning Methods for Solving Linear Inverse Problems: Research Directions and Paradigms
Yanna Bai
Wei Chen
Jie Chen
Weisi Guo
31
66
0
27 Jul 2020
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