ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2110.10366
  4. Cited By
Repaint: Improving the Generalization of Down-Stream Visual Tasks by
  Generating Multiple Instances of Training Examples

Repaint: Improving the Generalization of Down-Stream Visual Tasks by Generating Multiple Instances of Training Examples

20 October 2021
Amin Banitalebi-Dehkordi
Yong Zhang
ArXivPDFHTML

Papers citing "Repaint: Improving the Generalization of Down-Stream Visual Tasks by Generating Multiple Instances of Training Examples"

30 / 30 papers shown
Title
Generative Adversarial Networks
Generative Adversarial Networks
Gilad Cohen
Raja Giryes
GAN
64
30,021
0
01 Mar 2022
Learning to Resize Images for Computer Vision Tasks
Learning to Resize Images for Computer Vision Tasks
Hossein Talebi
P. Milanfar
36
119
0
17 Mar 2021
Text and Style Conditioned GAN for Generation of Offline Handwriting
  Lines
Text and Style Conditioned GAN for Generation of Offline Handwriting Lines
Brian L. Davis
Chris Tensmeyer
Brian L. Price
Curtis Wigington
B. Morse
R. Jain
GAN
39
47
0
01 Sep 2020
Regularizing Deep Networks with Semantic Data Augmentation
Regularizing Deep Networks with Semantic Data Augmentation
Yulin Wang
Gao Huang
Shiji Song
Xuran Pan
Yitong Xia
Cheng Wu
55
157
0
21 Jul 2020
ClassMix: Segmentation-Based Data Augmentation for Semi-Supervised
  Learning
ClassMix: Segmentation-Based Data Augmentation for Semi-Supervised Learning
Viktor Olsson
Wilhelm Tranheden
Juliano Pinto
Lennart Svensson
36
336
0
15 Jul 2020
Filter Style Transfer between Photos
Filter Style Transfer between Photos
Jonghwa Yim
Jisung Yoo
Won-joon Do
Beomsu Kim
Jihwan Choe
20
16
0
15 Jul 2020
Light-weight Calibrator: a Separable Component for Unsupervised Domain
  Adaptation
Light-weight Calibrator: a Separable Component for Unsupervised Domain Adaptation
Shaokai Ye
Kailu Wu
Mu Zhou
Yunfei Yang
S. Tan
Kaidi Xu
Jiebo Song
Chenglong Bao
Kaisheng Ma
50
20
0
28 Nov 2019
EfficientDet: Scalable and Efficient Object Detection
EfficientDet: Scalable and Efficient Object Detection
Mingxing Tan
Ruoming Pang
Quoc V. Le
52
4,996
0
20 Nov 2019
Dynamic Instance Normalization for Arbitrary Style Transfer
Dynamic Instance Normalization for Arbitrary Style Transfer
Yongcheng Jing
Xinyu Liu
Yukang Ding
Xinchao Wang
Errui Ding
Xiuming Zhang
Shilei Wen
89
193
0
16 Nov 2019
Implicit Semantic Data Augmentation for Deep Networks
Implicit Semantic Data Augmentation for Deep Networks
Yulin Wang
Xuran Pan
Shiji Song
Hong Zhang
Cheng Wu
Gao Huang
48
199
0
26 Sep 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Mingxing Tan
Quoc V. Le
3DV
MedIm
34
17,950
0
28 May 2019
CutMix: Regularization Strategy to Train Strong Classifiers with
  Localizable Features
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features
Sangdoo Yun
Dongyoon Han
Seong Joon Oh
Sanghyuk Chun
Junsuk Choe
Y. Yoo
OOD
542
4,735
0
13 May 2019
Approximating CNNs with Bag-of-local-Features models works surprisingly
  well on ImageNet
Approximating CNNs with Bag-of-local-Features models works surprisingly well on ImageNet
Wieland Brendel
Matthias Bethge
SSL
FAtt
49
561
0
20 Mar 2019
Semantic Image Synthesis with Spatially-Adaptive Normalization
Semantic Image Synthesis with Spatially-Adaptive Normalization
Taesung Park
Ming-Yuan Liu
Ting-Chun Wang
Jun-Yan Zhu
110
2,679
0
18 Mar 2019
ImageNet-trained CNNs are biased towards texture; increasing shape bias
  improves accuracy and robustness
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness
Robert Geirhos
Patricia Rubisch
Claudio Michaelis
Matthias Bethge
Felix Wichmann
Wieland Brendel
54
2,647
0
29 Nov 2018
DropBlock: A regularization method for convolutional networks
DropBlock: A regularization method for convolutional networks
Golnaz Ghiasi
Nayeon Lee
Quoc V. Le
77
911
0
30 Oct 2018
GAN Augmentation: Augmenting Training Data using Generative Adversarial
  Networks
GAN Augmentation: Augmenting Training Data using Generative Adversarial Networks
Christopher Bowles
Liang Chen
Ricardo Guerrero
P. Bentley
R. Gunn
A. Hammers
D. A. Dickie
M. V. Valdés Hernández
Joanna M. Wardlaw
Daniel Rueckert
GAN
MedIm
45
424
0
25 Oct 2018
MobileNetV2: Inverted Residuals and Linear Bottlenecks
MobileNetV2: Inverted Residuals and Linear Bottlenecks
Mark Sandler
Andrew G. Howard
Menglong Zhu
A. Zhmoginov
Liang-Chieh Chen
98
19,124
0
13 Jan 2018
High-Resolution Image Synthesis and Semantic Manipulation with
  Conditional GANs
High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs
Ting-Chun Wang
Ming-Yuan Liu
Jun-Yan Zhu
Andrew Tao
Jan Kautz
Bryan Catanzaro
SSeg
122
3,926
0
30 Nov 2017
Data Augmentation in Emotion Classification Using Generative Adversarial
  Networks
Data Augmentation in Emotion Classification Using Generative Adversarial Networks
Xinyue Zhu
Yifan Liu
Zengchang Qin
Jiahong Li
GAN
43
121
0
02 Nov 2017
mixup: Beyond Empirical Risk Minimization
mixup: Beyond Empirical Risk Minimization
Hongyi Zhang
Moustapha Cissé
Yann N. Dauphin
David Lopez-Paz
NoLa
212
9,687
0
25 Oct 2017
Improved Regularization of Convolutional Neural Networks with Cutout
Improved Regularization of Convolutional Neural Networks with Cutout
Terrance Devries
Graham W. Taylor
59
3,739
0
15 Aug 2017
Cognitive Psychology for Deep Neural Networks: A Shape Bias Case Study
Cognitive Psychology for Deep Neural Networks: A Shape Bias Case Study
Samuel Ritter
David Barrett
Adam Santoro
M. Botvinick
32
195
0
26 Jun 2017
Arbitrary Style Transfer in Real-time with Adaptive Instance
  Normalization
Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization
Xun Huang
Serge J. Belongie
OOD
125
4,331
0
20 Mar 2017
An overview of gradient descent optimization algorithms
An overview of gradient descent optimization algorithms
Sebastian Ruder
ODL
160
6,170
0
15 Sep 2016
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets,
  Atrous Convolution, and Fully Connected CRFs
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Patrick Murphy
Alan Yuille
SSeg
127
18,136
0
02 Jun 2016
Autoencoding beyond pixels using a learned similarity metric
Autoencoding beyond pixels using a learned similarity metric
Anders Boesen Lindbo Larsen
Søren Kaae Sønderby
Hugo Larochelle
Ole Winther
GAN
115
2,061
0
31 Dec 2015
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
786
192,638
0
10 Dec 2015
You Only Look Once: Unified, Real-Time Object Detection
You Only Look Once: Unified, Real-Time Object Detection
Joseph Redmon
S. Divvala
Ross B. Girshick
Ali Farhadi
ObjD
465
36,643
0
08 Jun 2015
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
116
43,290
0
01 May 2014
1