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Data Augmentation Using GANs

Data Augmentation Using GANs

19 April 2019
Fabio Tanaka
Claus Aranha
ArXiv (abs)PDFHTML

Papers citing "Data Augmentation Using GANs"

36 / 36 papers shown
Title
Enhanced Smart Contract Reputability Analysis using Multimodal Data Fusion on Ethereum
Enhanced Smart Contract Reputability Analysis using Multimodal Data Fusion on Ethereum
Cyrus Malik
Josef Bajada
Joshua Ellul
167
0
0
21 Mar 2025
Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries
Needle: A Generative AI-Powered Multi-modal Database for Answering Complex Natural Language Queries
Mahdi Erfanian
Mohsen Dehghankar
Abolfazl Asudeh
SyDaMedIm
29
0
0
01 Dec 2024
Learning Run-time Safety Monitors for Machine Learning Components
Learning Run-time Safety Monitors for Machine Learning Components
Ozan Vardal
Richard Hawkins
Colin Paterson
Chiara Picardi
Daniel Omeiza
Lars Kunze
Ibrahim Habli
70
0
0
23 Jun 2024
Analisis Eksploratif Dan Augmentasi Data NSL-KDD Menggunakan Deep
  Generative Adversarial Networks Untuk Meningkatkan Performa Algoritma Extreme
  Gradient Boosting Dalam Klasifikasi Jenis Serangan Siber
Analisis Eksploratif Dan Augmentasi Data NSL-KDD Menggunakan Deep Generative Adversarial Networks Untuk Meningkatkan Performa Algoritma Extreme Gradient Boosting Dalam Klasifikasi Jenis Serangan Siber
Kevin Putra Santoso
F. A. Madany
H. Suryotrisongko
35
0
0
17 Dec 2023
WSAM: Visual Explanations from Style Augmentation as Adversarial
  Attacker and Their Influence in Image Classification
WSAM: Visual Explanations from Style Augmentation as Adversarial Attacker and Their Influence in Image Classification
Felipe Moreno-Vera
E. Medina
Jorge Poco
46
2
0
29 Aug 2023
Survey of Automatic Plankton Image Recognition: Challenges, Existing
  Solutions and Future Perspectives
Survey of Automatic Plankton Image Recognition: Challenges, Existing Solutions and Future Perspectives
T. Eerola
Daniel Batrakhanov
Nastaran Vatankhah Barazandeh
K. Kraft
Lumi Haraguchi
L. Lensu
S. Suikkanen
Jukka Seppälä
T. Tamminen
Heikki Kälviäinen
82
13
0
19 May 2023
Effective Data Augmentation With Diffusion Models
Effective Data Augmentation With Diffusion Models
Brandon Trabucco
Kyle Doherty
Max Gurinas
Ruslan Salakhutdinov
DiffMVLM
116
258
0
07 Feb 2023
Data Augmentation for Modeling Human Personality: The Dexter Machine
Data Augmentation for Modeling Human Personality: The Dexter Machine
Yair Neuman
Vladyslav Kozhukhov
Dan Vilenchik
SyDa
66
4
0
20 Jan 2023
Persian Emotion Detection using ParsBERT and Imbalanced Data Handling
  Approaches
Persian Emotion Detection using ParsBERT and Imbalanced Data Handling Approaches
Amirhossein Abaskohi
Nazanin Sabri
B. Bahrak
100
4
0
15 Nov 2022
An Adversarial Active Sampling-based Data Augmentation Framework for
  Manufacturable Chip Design
An Adversarial Active Sampling-based Data Augmentation Framework for Manufacturable Chip Design
Mingjie Liu
Haoyu Yang
Zong-Yi Li
K. Sastry
S. Mukhopadhyay
Selim Dogru
Anima Anandkumar
David Z. Pan
Brucek Khailany
Haoxing Ren
101
4
0
27 Oct 2022
RepFair-GAN: Mitigating Representation Bias in GANs Using Gradient
  Clipping
RepFair-GAN: Mitigating Representation Bias in GANs Using Gradient Clipping
Patrik Kenfack
Kamil Sabbagh
Adín Ramirez Rivera
A. Khan
66
13
0
13 Jul 2022
Semi-Supervised Learning for Mars Imagery Classification and
  Segmentation
Semi-Supervised Learning for Mars Imagery Classification and Segmentation
Wenjing Wang
Lilang Lin
Zejia Fan
Jiaying Liu
SSL
50
10
0
05 Jun 2022
RENs: Relevance Encoding Networks
RENs: Relevance Encoding Networks
Krithika S. Iyer
Riddhish Bhalodia
Shireen Y. Elhabian
DRL
120
1
0
25 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
128
432
0
03 May 2022
State-of-the-Art in the Architecture, Methods and Applications of
  StyleGAN
State-of-the-Art in the Architecture, Methods and Applications of StyleGAN
Amit H. Bermano
Rinon Gal
Yuval Alaluf
Ron Mokady
Yotam Nitzan
Omer Tov
Or Patashnik
Daniel Cohen-Or
83
85
0
28 Feb 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
93
15
0
07 Jan 2022
On Automatic Data Augmentation for 3D Point Cloud Classification
On Automatic Data Augmentation for 3D Point Cloud Classification
Wanyue Zhang
Xun Xu
Fayao Liu
Le Zhang
Chuan-Sheng Foo
3DPC
83
5
0
11 Dec 2021
GAN-Supervised Dense Visual Alignment
GAN-Supervised Dense Visual Alignment
William S. Peebles
Jun-Yan Zhu
Richard Y. Zhang
Antonio Torralba
Alexei A. Efros
Eli Shechtman
103
67
0
09 Dec 2021
GANORCON: Are Generative Models Useful for Few-shot Segmentation?
GANORCON: Are Generative Models Useful for Few-shot Segmentation?
Oindrila Saha
Zezhou Cheng
Subhransu Maji
91
17
0
01 Dec 2021
Overcoming limited battery data challenges: A coupled neural network
  approach
Overcoming limited battery data challenges: A coupled neural network approach
A. Herle
Janamejaya Channegowda
Dinakar Prabhu
40
12
0
05 Oct 2021
Synthetic Data Generation for Fraud Detection using GANs
Synthetic Data Generation for Fraud Detection using GANs
C. Charitou
S. Dragicevic
Artur Garcez
57
20
0
26 Sep 2021
Learning from Multiple Noisy Augmented Data Sets for Better
  Cross-Lingual Spoken Language Understanding
Learning from Multiple Noisy Augmented Data Sets for Better Cross-Lingual Spoken Language Understanding
Yingmei Guo
Linjun Shou
J. Pei
Ming Gong
Mingxing Xu
Zhiyong Wu
Daxin Jiang
66
5
0
03 Sep 2021
LARGE: Latent-Based Regression through GAN Semantics
LARGE: Latent-Based Regression through GAN Semantics
Yotam Nitzan
Rinon Gal
Ofir Brenner
Daniel Cohen-Or
GAN
55
26
0
22 Jul 2021
OCT-GAN: Neural ODE-based Conditional Tabular GANs
OCT-GAN: Neural ODE-based Conditional Tabular GANs
Jayoung Kim
Jinsung Jeon
Jaehoon Lee
Jihyeon Hyeong
Noseong Park
96
37
0
31 May 2021
Adversarial Imitation Learning with Trajectorial Augmentation and
  Correction
Adversarial Imitation Learning with Trajectorial Augmentation and Correction
Dafni Antotsiou
C. Ciliberto
Tae-Kyun Kim
63
10
0
25 Mar 2021
On the Fairness of Generative Adversarial Networks (GANs)
On the Fairness of Generative Adversarial Networks (GANs)
Patrik Kenfack
Daniil Dmitrievich Arapovy
Rasheed Hussain
S. M. Ahsan Kazmi
A. Khan
GAN
72
23
0
01 Mar 2021
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
79
35
0
23 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
Augmented SBERT: Data Augmentation Method for Improving Bi-Encoders for
  Pairwise Sentence Scoring Tasks
Augmented SBERT: Data Augmentation Method for Improving Bi-Encoders for Pairwise Sentence Scoring Tasks
Nandan Thakur
Nils Reimers
Johannes Daxenberger
Iryna Gurevych
300
250
0
16 Oct 2020
Tell Me How to Ask Again: Question Data Augmentation with Controllable
  Rewriting in Continuous Space
Tell Me How to Ask Again: Question Data Augmentation with Controllable Rewriting in Continuous Space
Dayiheng Liu
Yeyun Gong
Jie Fu
Yu Yan
Jiusheng Chen
Jiancheng Lv
Nan Duan
M. Zhou
51
37
0
04 Oct 2020
EfficientSeg: An Efficient Semantic Segmentation Network
EfficientSeg: An Efficient Semantic Segmentation Network
V. B. Yesilkaynak
Y. Sahin
Gözde B. Ünal
SSeg
38
8
0
14 Sep 2020
MixBoost: Synthetic Oversampling with Boosted Mixup for Handling Extreme
  Imbalance
MixBoost: Synthetic Oversampling with Boosted Mixup for Handling Extreme Imbalance
Anubha Kabra
Ayush Chopra
Nikaash Puri
Pinkesh Badjatiya
Sukriti Verma
Piyush B. Gupta
K. Balaji
64
7
0
03 Sep 2020
Large image datasets: A pyrrhic win for computer vision?
Large image datasets: A pyrrhic win for computer vision?
Vinay Uday Prabhu
Abeba Birhane
121
367
0
24 Jun 2020
Modeling EEG data distribution with a Wasserstein Generative Adversarial
  Network to predict RSVP Events
Modeling EEG data distribution with a Wasserstein Generative Adversarial Network to predict RSVP Events
Sharaj Panwar
P. Rad
T. Jung
Yufei Huang
GAN
73
53
0
11 Nov 2019
Not Enough Data? Deep Learning to the Rescue!
Not Enough Data? Deep Learning to the Rescue!
Ateret Anaby-Tavor
Boaz Carmeli
Esther Goldbraich
Amir Kantor
George Kour
Segev Shlomov
N. Tepper
Naama Zwerdling
102
371
0
08 Nov 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
56
4
0
12 Oct 2019
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