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Effective Data Augmentation with Multi-Domain Learning GANs

Effective Data Augmentation with Multi-Domain Learning GANs

25 December 2019
Shinýa Yamaguchi
Sekitoshi Kanai
Takeharu Eda
ArXivPDFHTML

Papers citing "Effective Data Augmentation with Multi-Domain Learning GANs"

15 / 15 papers shown
Title
ADA-Net: Attention-Guided Domain Adaptation Network with Contrastive Learning for Standing Dead Tree Segmentation Using Aerial Imagery
ADA-Net: Attention-Guided Domain Adaptation Network with Contrastive Learning for Standing Dead Tree Segmentation Using Aerial Imagery
Mete Ahishali
Anis Ur Rahman
Einari Heinaro
Samuli Junttila
27
0
0
05 Apr 2025
Transfer Learning with Pre-trained Conditional Generative Models
Transfer Learning with Pre-trained Conditional Generative Models
Shinýa Yamaguchi
Sekitoshi Kanai
Atsutoshi Kumagai
Daiki Chijiwa
H. Kashima
VLM
CLL
BDL
DiffM
127
5
0
21 Feb 2025
Local Lesion Generation is Effective for Capsule Endoscopy Image Data
  Augmentation in a Limited Data Setting
Local Lesion Generation is Effective for Capsule Endoscopy Image Data Augmentation in a Limited Data Setting
Adrian B. Chłopowiec
Adam R. Chłopowiec
Krzysztof Galus
Wojciech Cebula
Martin Tabakov
MedIm
33
0
0
05 Nov 2024
Towards a Theoretical Understanding of Synthetic Data in LLM Post-Training: A Reverse-Bottleneck Perspective
Towards a Theoretical Understanding of Synthetic Data in LLM Post-Training: A Reverse-Bottleneck Perspective
Zeyu Gan
Yong Liu
SyDa
41
1
0
02 Oct 2024
Genetic Learning for Designing Sim-to-Real Data Augmentations
Genetic Learning for Designing Sim-to-Real Data Augmentations
Bram Vanherle
Nick Michiels
F. Reeth
33
0
0
11 Mar 2024
Generative Semi-supervised Learning with Meta-Optimized Synthetic
  Samples
Generative Semi-supervised Learning with Meta-Optimized Synthetic Samples
Shinýa Yamaguchi
29
2
0
28 Sep 2023
DiffAug: Enhance Unsupervised Contrastive Learning with
  Domain-Knowledge-Free Diffusion-based Data Augmentation
DiffAug: Enhance Unsupervised Contrastive Learning with Domain-Knowledge-Free Diffusion-based Data Augmentation
Z. Zang
Hao Luo
K. Wang
Panpan Zhang
F. Wang
Stan. Z Li
Yang You
22
5
0
10 Sep 2023
Regularizing Neural Networks with Meta-Learning Generative Models
Regularizing Neural Networks with Meta-Learning Generative Models
Shinýa Yamaguchi
Daiki Chijiwa
Sekitoshi Kanai
Atsutoshi Kumagai
H. Kashima
31
4
0
26 Jul 2023
Toward Understanding Generative Data Augmentation
Toward Understanding Generative Data Augmentation
Chenyu Zheng
Guoqiang Wu
Chongxuan Li
21
24
0
27 May 2023
Effective Data Augmentation With Diffusion Models
Effective Data Augmentation With Diffusion Models
Brandon Trabucco
Kyle Doherty
Max Gurinas
Ruslan Salakhutdinov
VLM
DiffM
25
231
0
07 Feb 2023
Few-Shot Adaptation of Generative Adversarial Networks
Few-Shot Adaptation of Generative Adversarial Networks
Esther Robb
Wen-Sheng Chu
Abhishek Kumar
Jia-Bin Huang
22
98
0
22 Oct 2020
ExGAN: Adversarial Generation of Extreme Samples
ExGAN: Adversarial Generation of Extreme Samples
Siddharth Bhatia
Arjit Jain
Bryan Hooi
23
42
0
17 Sep 2020
Classify and Generate Reciprocally: Simultaneous Positive-Unlabelled
  Learning and Conditional Generation with Extra Data
Classify and Generate Reciprocally: Simultaneous Positive-Unlabelled Learning and Conditional Generation with Extra Data
Bin-Xia Yu
Ke Sun
He-Nan Wang
Zhouchen Lin
Zhanxing Zhu
9
0
0
14 Jun 2020
Fast Cross-domain Data Augmentation through Neural Sentence Editing
Fast Cross-domain Data Augmentation through Neural Sentence Editing
Guillaume Raille
Sandra Djambazovska
C. Musat
8
11
0
23 Mar 2020
Conditional Image Synthesis With Auxiliary Classifier GANs
Conditional Image Synthesis With Auxiliary Classifier GANs
Augustus Odena
C. Olah
Jonathon Shlens
GAN
224
3,190
0
30 Oct 2016
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