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Data Augmentation Generative Adversarial Networks

Data Augmentation Generative Adversarial Networks

12 November 2017
Antreas Antoniou
Amos Storkey
Harrison Edwards
    MedIm
    GAN
ArXivPDFHTML

Papers citing "Data Augmentation Generative Adversarial Networks"

50 / 428 papers shown
Title
BOOTPLACE: Bootstrapped Object Placement with Detection Transformers
BOOTPLACE: Bootstrapped Object Placement with Detection Transformers
Hang Zhou
Wei Ji
Rui Ma
Li Cheng
ViT
39
0
0
27 Mar 2025
HingeRLC-GAN: Combating Mode Collapse with Hinge Loss and RLC Regularization
HingeRLC-GAN: Combating Mode Collapse with Hinge Loss and RLC Regularization
Osman Goni
Himadri Saha Arka
Mithun Halder
Mir Moynuddin Ahmed Shibly
Swakkhar Shatabda
GAN
55
0
0
24 Mar 2025
ADROIT: A Self-Supervised Framework for Learning Robust Representations for Active Learning
S. Banerjee
Vinay K. Verma
SSL
66
0
0
10 Mar 2025
GAUDA: Generative Adaptive Uncertainty-guided Diffusion-based Augmentation for Surgical Segmentation
GAUDA: Generative Adaptive Uncertainty-guided Diffusion-based Augmentation for Surgical Segmentation
Yannik Frisch
Christina Bornberg
Moritz Fuchs
Anirban Mukhopadhyay
MedIm
30
0
0
18 Jan 2025
DreamMask: Boosting Open-vocabulary Panoptic Segmentation with Synthetic Data
Yuanpeng Tu
Xi Chen
Ser-Nam Lim
Hengshuang Zhao
38
0
0
03 Jan 2025
A Decade of Deep Learning: A Survey on The Magnificent Seven
A Decade of Deep Learning: A Survey on The Magnificent Seven
Dilshod Azizov
Muhammad Arslan Manzoor
Velibor Bojkovic
Yingxu Wang
Zhilin Wang
...
Liang Li
Siwei Liu
Yu Zhong
Wei Liu
Shangsong Liang
OOD
AI4TS
MedIm
120
0
0
13 Dec 2024
Diffusion Autoencoders for Few-shot Image Generation in Hyperbolic Space
Diffusion Autoencoders for Few-shot Image Generation in Hyperbolic Space
Lingxiao Li
Kaixuan Fan
Boqing Gong
Xiangyu Yue
DiffM
75
0
0
27 Nov 2024
Towards certification: A complete statistical validation pipeline for
  supervised learning in industry
Towards certification: A complete statistical validation pipeline for supervised learning in industry
Lucas Lacasa
Abel Pardo
Pablo Arbelo
Miguel Sánchez
Pablo Yeste
...
Alejandro Martínez-Cava
G. Rubio
Ignacio Gómez
E. Valero
Javier de Vicente
AI4CE
42
1
0
04 Nov 2024
Exploring the Landscape for Generative Sequence Models for Specialized
  Data Synthesis
Exploring the Landscape for Generative Sequence Models for Specialized Data Synthesis
Mohammad Zbeeb
Mohammad Ghorayeb
Mariam Salman
42
0
0
04 Nov 2024
Towards Data Valuation via Asymmetric Data Shapley
Towards Data Valuation via Asymmetric Data Shapley
Xi Zheng
Xiangyu Chang
Ruoxi Jia
Yong Tan
TDI
FedML
44
1
0
01 Nov 2024
Will the Inclusion of Generated Data Amplify Bias Across Generations in
  Future Image Classification Models?
Will the Inclusion of Generated Data Amplify Bias Across Generations in Future Image Classification Models?
Zeliang Zhang
Xin Liang
Mingqian Feng
Susan Liang
Chenliang Xu
39
1
0
14 Oct 2024
A Deep Learning Approach for Imbalanced Tabular Data in Advertiser
  Prospecting: A Case of Direct Mail Prospecting
A Deep Learning Approach for Imbalanced Tabular Data in Advertiser Prospecting: A Case of Direct Mail Prospecting
Sadegh Farhang
William Hayes
Nick Murphy
Jonathan Neddenriep
Nicholas Tyris
24
0
0
02 Oct 2024
Pseudo-Non-Linear Data Augmentation via Energy Minimization
Pseudo-Non-Linear Data Augmentation via Energy Minimization
Pingbang Hu
Mahito Sugiyama
26
0
0
01 Oct 2024
TabEBM: A Tabular Data Augmentation Method with Distinct Class-Specific
  Energy-Based Models
TabEBM: A Tabular Data Augmentation Method with Distinct Class-Specific Energy-Based Models
Andrei Margeloiu
Xiangjian Jiang
Nikola Simidjievski
M. Jamnik
38
5
0
24 Sep 2024
Data Augmentation for Sparse Multidimensional Learning Performance Data Using Generative AI
Data Augmentation for Sparse Multidimensional Learning Performance Data Using Generative AI
Liang Zhang
Jionghao Lin
John Sabatini
Conrad Borchers
Daniel Weitekamp
Meng Cao
John Hollander
Xiangen Hu
Arthur C. Graesser
32
2
0
24 Sep 2024
A Feature Generator for Few-Shot Learning
A Feature Generator for Few-Shot Learning
Heethanjan Kanagalingam
Thenukan Pathmanathan
Navaneethan Ketheeswaran
Mokeeshan Vathanakumar
Mohamed Afham
Ranga Rodrigo
23
0
0
21 Sep 2024
An Augmentation-based Model Re-adaptation Framework for Robust Image
  Segmentation
An Augmentation-based Model Re-adaptation Framework for Robust Image Segmentation
Zheming Zuo
Joseph Smith
Jonathan Stonehouse
Boguslaw Obara
VLM
36
0
0
14 Sep 2024
Exploring Foundation Models for Synthetic Medical Imaging: A Study on
  Chest X-Rays and Fine-Tuning Techniques
Exploring Foundation Models for Synthetic Medical Imaging: A Study on Chest X-Rays and Fine-Tuning Techniques
Davide Clode da Silva
Marina Musse Bernardes
Nathalia Giacomini Ceretta
Gabriel Vaz de Souza
Gabriel Fonseca Silva
Rafael Heitor Bordini
S. Musse
MedIm
LM&MA
31
0
0
06 Sep 2024
Abstracted Gaussian Prototypes for One-Shot Concept Learning
Abstracted Gaussian Prototypes for One-Shot Concept Learning
Chelsea Zou
Kenneth J. Kurtz
VLM
29
0
0
30 Aug 2024
DIAGen: Diverse Image Augmentation with Generative Models
DIAGen: Diverse Image Augmentation with Generative Models
Tobias Lingenberg
Markus Reuter
Gopika Sudhakaran
Dominik Gojny
Stefan Roth
Simone Schaub-Meyer
DiffM
31
3
0
26 Aug 2024
Boosting Unconstrained Face Recognition with Targeted Style Adversary
Boosting Unconstrained Face Recognition with Targeted Style Adversary
Mohammad Saeed Ebrahimi Saadabadi
Sahar Rahimi Malakshan
Seyed Rasoul Hosseini
Nasser M. Nasrabadi
CVBM
36
0
0
14 Aug 2024
A Simple Task-aware Contrastive Local Descriptor Selection Strategy for
  Few-shot Learning between inter class and intra class
A Simple Task-aware Contrastive Local Descriptor Selection Strategy for Few-shot Learning between inter class and intra class
Qian Qiao
Yu Xie
Shaoyao Huang
Fanzhang Li
29
0
0
12 Aug 2024
Joint Neural Networks for One-shot Object Recognition and Detection
Joint Neural Networks for One-shot Object Recognition and Detection
Camilo Vargas
Qianni Zhang
E. Izquierdo
ObjD
VLM
46
0
0
01 Aug 2024
Knowledge-driven AI-generated data for accurate and interpretable breast
  ultrasound diagnoses
Knowledge-driven AI-generated data for accurate and interpretable breast ultrasound diagnoses
Haojun Yu
Youcheng Li
Nan Zhang
Zihan Niu
Xuantong Gong
...
Binghui Tang
Ling Huo
Qingli Zhu
Yong Wang
Liwei Wang
MedIm
32
3
0
23 Jul 2024
ARoFace: Alignment Robustness to Improve Low-Quality Face Recognition
ARoFace: Alignment Robustness to Improve Low-Quality Face Recognition
Mohammad Saeed Ebrahimi Saadabadi
Sahar Rahimi Malakshan
Ali Dabouei
Nasser M. Nasrabadi
CVBM
AAML
43
4
0
20 Jul 2024
Understanding the Role of Invariance in Transfer Learning
Understanding the Role of Invariance in Transfer Learning
Till Speicher
Vedant Nanda
Krishna P. Gummadi
SSL
OOD
45
1
0
05 Jul 2024
A Survey of Data Synthesis Approaches
A Survey of Data Synthesis Approaches
Hsin-Yu Chang
Pei-Yu Chen
Tun-Hsiang Chou
Chang-Sheng Kao
Hsuan-Yun Yu
Yen-Ting Lin
Yun-Nung Chen
40
6
0
04 Jul 2024
Improving Deep Learning-based Automatic Cranial Defect Reconstruction by
  Heavy Data Augmentation: From Image Registration to Latent Diffusion Models
Improving Deep Learning-based Automatic Cranial Defect Reconstruction by Heavy Data Augmentation: From Image Registration to Latent Diffusion Models
Marek Wodzinski
K. Kwarciak
Mateusz Daniol
D. Hemmerling
DiffM
MedIm
25
4
0
10 Jun 2024
Latent Representation Matters: Human-like Sketches in One-shot Drawing
  Tasks
Latent Representation Matters: Human-like Sketches in One-shot Drawing Tasks
Victor Boutin
Rishav Mukherji
Aditya Agrawal
Sabine Muzellec
Thomas Fel
Thomas Serre
Rufin VanRullen
DiffM
37
0
0
10 Jun 2024
MVAD: A Multiple Visual Artifact Detector for Video Streaming
MVAD: A Multiple Visual Artifact Detector for Video Streaming
Chen Feng
Duolikun Danier
Fan Zhang
David Bull
25
0
0
31 May 2024
A Label Propagation Strategy for CutMix in Multi-Label Remote Sensing Image Classification
A Label Propagation Strategy for CutMix in Multi-Label Remote Sensing Image Classification
Tom Burgert
Tim Siebert
Kai Norman Clasen
Begüm Demir
Begüm Demir
49
1
0
22 May 2024
Dynamic Feature Learning and Matching for Class-Incremental Learning
Dynamic Feature Learning and Matching for Class-Incremental Learning
Sunyuan Qiang
Yanyan Liang
Jun Wan
Du Zhang
CLL
38
3
0
14 May 2024
How to Augment for Atmospheric Turbulence Effects on Thermal Adapted
  Object Detection Models?
How to Augment for Atmospheric Turbulence Effects on Thermal Adapted Object Detection Models?
Engin Uzun
Erdem Akagündüz
43
0
0
10 May 2024
Meta-Transfer Derm-Diagnosis: Exploring Few-Shot Learning and Transfer
  Learning for Skin Disease Classification in Long-Tail Distribution
Meta-Transfer Derm-Diagnosis: Exploring Few-Shot Learning and Transfer Learning for Skin Disease Classification in Long-Tail Distribution
Zeynep Özdemir
H. Keles
Ö. Ö. Tanriöver
36
0
0
25 Apr 2024
Conditional Distribution Modelling for Few-Shot Image Synthesis with
  Diffusion Models
Conditional Distribution Modelling for Few-Shot Image Synthesis with Diffusion Models
Parul Gupta
Munawar Hayat
Abhinav Dhall
Thanh-Toan Do
DiffM
46
1
0
25 Apr 2024
Enhance Image Classification via Inter-Class Image Mixup with Diffusion
  Model
Enhance Image Classification via Inter-Class Image Mixup with Diffusion Model
Zhicai Wang
Longhui Wei
Tan Wang
Heyu Chen
Yanbin Hao
Xiang Wang
Xiangnan He
Qi Tian
VLM
DiffM
34
17
0
28 Mar 2024
Geometric Generative Models based on Morphological Equivariant PDEs and
  GANs
Geometric Generative Models based on Morphological Equivariant PDEs and GANs
El Hadji S. Diop
Thierno Fall
Alioune Mbengue
Mohamed Daoudi
GAN
33
1
0
22 Mar 2024
Generative Models and Connected and Automated Vehicles: A Survey in
  Exploring the Intersection of Transportation and AI
Generative Models and Connected and Automated Vehicles: A Survey in Exploring the Intersection of Transportation and AI
Dong Shu
Zhouyao Zhu
34
1
0
14 Mar 2024
Distribution-Aware Data Expansion with Diffusion Models
Distribution-Aware Data Expansion with Diffusion Models
Haowei Zhu
Ling Yang
Jun-Hai Yong
Hongzhi Yin
Jiawei Jiang
Meng Xiao
Wentao Zhang
Bin Wang
41
3
0
11 Mar 2024
Delving into the Trajectory Long-tail Distribution for Muti-object
  Tracking
Delving into the Trajectory Long-tail Distribution for Muti-object Tracking
Sijia Chen
En Yu
Jinyang Li
Wenbing Tao
DiffM
35
12
0
07 Mar 2024
Task Attribute Distance for Few-Shot Learning: Theoretical Analysis and
  Applications
Task Attribute Distance for Few-Shot Learning: Theoretical Analysis and Applications
Minyang Hu
Hong Chang
Zong Guo
Bingpeng Ma
Shiguang Shan
Xilin Chen
VLM
29
1
0
06 Mar 2024
WildFake: A Large-scale Challenging Dataset for AI-Generated Images
  Detection
WildFake: A Large-scale Challenging Dataset for AI-Generated Images Detection
Yan Hong
Jianfu Zhang
74
9
0
19 Feb 2024
Towards Theoretical Understandings of Self-Consuming Generative Models
Towards Theoretical Understandings of Self-Consuming Generative Models
Shi Fu
Sen Zhang
Yingjie Wang
Xinmei Tian
Dacheng Tao
36
9
0
19 Feb 2024
Taking Class Imbalance Into Account in Open Set Recognition Evaluation
Taking Class Imbalance Into Account in Open Set Recognition Evaluation
Joanna Komorniczak
Pawel Ksieniewicz
25
0
0
09 Feb 2024
A Bias-Variance Decomposition for Ensembles over Multiple Synthetic Datasets
A Bias-Variance Decomposition for Ensembles over Multiple Synthetic Datasets
Ossi Raisa
Antti Honkela
78
0
0
06 Feb 2024
PeaTMOSS: A Dataset and Initial Analysis of Pre-Trained Models in
  Open-Source Software
PeaTMOSS: A Dataset and Initial Analysis of Pre-Trained Models in Open-Source Software
Wenxin Jiang
Jerin Yasmin
Jason Jones
Nicholas Synovic
Jiashen Kuo
Nathaniel Bielanski
Yuan Tian
George K. Thiruvathukal
James C. Davis
41
11
0
01 Feb 2024
Active Generation Network of Human Skeleton for Action Recognition
Active Generation Network of Human Skeleton for Action Recognition
Longzhao Liu
Xin Wang
Fangming Li
Jiayu Chen
GAN
48
1
0
30 Jan 2024
A Survey on Data Augmentation in Large Model Era
A Survey on Data Augmentation in Large Model Era
Yue Zhou
Chenlu Guo
Xu Wang
Yi-Ju Chang
Yuan Wu
LM&MA
VLM
49
23
0
27 Jan 2024
Generic Knowledge Boosted Pre-training For Remote Sensing Images
Generic Knowledge Boosted Pre-training For Remote Sensing Images
Ziyue Huang
Mingming Zhang
Yuan Gong
Qingjie Liu
Yunhong Wang
VLM
35
14
0
09 Jan 2024
Controllable Image Synthesis of Industrial Data Using Stable Diffusion
Controllable Image Synthesis of Industrial Data Using Stable Diffusion
Gabriele Valvano
Antonino Agostino
Giovanni De Magistris
Antonino Graziano
Giacomo Veneri
34
5
0
06 Jan 2024
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