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. 1811.09030
  4. Cited By
Data Augmentation using Random Image Cropping and Patching for Deep CNNs

Data Augmentation using Random Image Cropping and Patching for Deep CNNs

22 November 2018
Ryo Takahashi
Takashi Matsubara
K. Uehara
ArXivPDFHTML

Papers citing "Data Augmentation using Random Image Cropping and Patching for Deep CNNs"

37 / 87 papers shown
Title
Ortho-Shot: Low Displacement Rank Regularization with Data Augmentation
  for Few-Shot Learning
Ortho-Shot: Low Displacement Rank Regularization with Data Augmentation for Few-Shot Learning
Uche M. Osahor
Nasser M. Nasrabadi
19
11
0
18 Oct 2021
Self-Supervised Domain Adaptation for Visual Navigation with Global Map
  Consistency
Self-Supervised Domain Adaptation for Visual Navigation with Global Map Consistency
E. Lee
Junho Kim
Young Min Kim
TTA
SSL
38
6
0
14 Oct 2021
MSE Loss with Outlying Label for Imbalanced Classification
MSE Loss with Outlying Label for Imbalanced Classification
S. Kato
Kazuhiro Hotta
16
11
0
06 Jul 2021
Isotonic Data Augmentation for Knowledge Distillation
Isotonic Data Augmentation for Knowledge Distillation
Wanyun Cui
Sen Yan
29
6
0
03 Jul 2021
Evolving Image Compositions for Feature Representation Learning
Evolving Image Compositions for Feature Representation Learning
Paola Cascante-Bonilla
Arshdeep Sekhon
Yanjun Qi
Vicente Ordonez
SSL
19
7
0
16 Jun 2021
Tackling the Background Bias in Sparse Object Detection via Cropped
  Windows
Tackling the Background Bias in Sparse Object Detection via Cropped Windows
Leon Amadeus Varga
A. Zell
32
8
0
04 Jun 2021
Autonomous Driving Implementation in an Experimental Environment
Autonomous Driving Implementation in an Experimental Environment
Namig Aliyev
Oguzhan Sezer
Mehmet Guzel
10
1
0
23 May 2021
BDANet: Multiscale Convolutional Neural Network with Cross-directional
  Attention for Building Damage Assessment from Satellite Images
BDANet: Multiscale Convolutional Neural Network with Cross-directional Attention for Building Damage Assessment from Satellite Images
Yu Shen
Sijie Zhu
Taojiannan Yang
Cheng Chen
D. Pan
Jianyu Chen
Liang Xiao
Q. Du
28
68
0
16 May 2021
Age Range Estimation using MTCNN and VGG-Face Model
Age Range Estimation using MTCNN and VGG-Face Model
Dipesh Gyawali
Prashanga Pokharel
Ashutosh Chauhan
S. Shakya
CVBM
10
9
0
17 Apr 2021
Artificial and beneficial -- Exploiting artificial images for aerial
  vehicle detection
Artificial and beneficial -- Exploiting artificial images for aerial vehicle detection
I. Weber
J. Bongartz
R. Roscher
13
11
0
07 Apr 2021
USB: Universal-Scale Object Detection Benchmark
USB: Universal-Scale Object Detection Benchmark
Yosuke Shinya
ObjD
19
13
0
25 Mar 2021
Student Network Learning via Evolutionary Knowledge Distillation
Student Network Learning via Evolutionary Knowledge Distillation
Kangkai Zhang
Chunhui Zhang
Shikun Li
Dan Zeng
Shiming Ge
22
83
0
23 Mar 2021
Principled Ultrasound Data Augmentation for Classification of Standard
  Planes
Principled Ultrasound Data Augmentation for Classification of Standard Planes
L. Hin
Yuan Lee
Gao J. Alison
28
15
0
14 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 by morphological mixup for solving Raven's Progressive
  Matrices
Data augmentation by morphological mixup for solving Raven's Progressive Matrices
Wentao He
Jianfeng Ren
Ruibin Bai
19
2
0
09 Mar 2021
Histo-fetch -- On-the-fly processing of gigapixel whole slide images
  simplifies and speeds neural network training
Histo-fetch -- On-the-fly processing of gigapixel whole slide images simplifies and speeds neural network training
Brendon Lutnick
L. Murali
Brandon G. Ginley
Avi Z. Rosenberg
P. Sarder
29
10
0
23 Feb 2021
Single Model Deep Learning on Imbalanced Small Datasets for Skin Lesion
  Classification
Single Model Deep Learning on Imbalanced Small Datasets for Skin Lesion Classification
Peng Yao
Shuwei Shen
Mengjuan Xu
Peng Liu
Fan Zhang
Jinyu Xing
Pengfei Shao
B. Kaffenberger
Ronald X. Xu
29
114
0
02 Feb 2021
Random Shadows and Highlights: A new data augmentation method for
  extreme lighting conditions
Random Shadows and Highlights: A new data augmentation method for extreme lighting conditions
Osama Mazhar
Jens Kober
AAML
18
5
0
13 Jan 2021
SnapMix: Semantically Proportional Mixing for Augmenting Fine-grained
  Data
SnapMix: Semantically Proportional Mixing for Augmenting Fine-grained Data
Shaoli Huang
Xinchao Wang
Dacheng Tao
24
116
0
09 Dec 2020
Where to drive: free space detection with one fisheye camera
Where to drive: free space detection with one fisheye camera
Tobias Scheck
Adarsh Mallandur
C. Wiede
G. Hirtz
14
7
0
11 Nov 2020
Self-paced Data Augmentation for Training Neural Networks
Self-paced Data Augmentation for Training Neural Networks
Tomoumi Takase
Ryo Karakida
H. Asoh
20
17
0
29 Oct 2020
Measuring Visual Generalization in Continuous Control from Pixels
Measuring Visual Generalization in Continuous Control from Pixels
J. E. Grigsby
Yanjun Qi
6
25
0
13 Oct 2020
Increasing the Robustness of Semantic Segmentation Models with
  Painting-by-Numbers
Increasing the Robustness of Semantic Segmentation Models with Painting-by-Numbers
Christoph Kamann
Burkhard Güssefeld
Robin Hutmacher
J. H. Metzen
Carsten Rother
14
18
0
12 Oct 2020
Discriminative Cross-Modal Data Augmentation for Medical Imaging
  Applications
Discriminative Cross-Modal Data Augmentation for Medical Imaging Applications
Yue Yang
P. Xie
MedIm
22
0
0
07 Oct 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
11
3
0
24 Sep 2020
Survey on Deep Learning-based Kuzushiji Recognition
Survey on Deep Learning-based Kuzushiji Recognition
K. Ueki
Tomoka Kojima
17
4
0
19 Jul 2020
Untapped Potential of Data Augmentation: A Domain Generalization
  Viewpoint
Untapped Potential of Data Augmentation: A Domain Generalization Viewpoint
Vihari Piratla
Shiv Shankar
ViT
16
0
0
09 Jul 2020
Automatic classification between COVID-19 pneumonia, non-COVID-19
  pneumonia, and the healthy on chest X-ray image: combination of data
  augmentation methods
Automatic classification between COVID-19 pneumonia, non-COVID-19 pneumonia, and the healthy on chest X-ray image: combination of data augmentation methods
Mizuho Nishio
Shunjiro Noguchi
Hidetoshi Matsuo
T. Murakami
9
128
0
01 Jun 2020
A Survey of Deep Learning for Scientific Discovery
A Survey of Deep Learning for Scientific Discovery
M. Raghu
Erica Schmidt
OOD
AI4CE
38
120
0
26 Mar 2020
FMix: Enhancing Mixed Sample Data Augmentation
FMix: Enhancing Mixed Sample Data Augmentation
Ethan Harris
Antonia Marcu
Matthew Painter
M. Niranjan
Adam Prugel-Bennett
Jonathon S. Hare
AAML
19
26
0
27 Feb 2020
Data augmentation with Mobius transformations
Data augmentation with Mobius transformations
Sharon Zhou
Jiequan Zhang
Hang Jiang
T. Lundh
A. Ng
19
20
0
07 Feb 2020
AugMix: A Simple Data Processing Method to Improve Robustness and
  Uncertainty
AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty
Dan Hendrycks
Norman Mu
E. D. Cubuk
Barret Zoph
Justin Gilmer
Balaji Lakshminarayanan
OOD
UQCV
48
1,276
0
05 Dec 2019
Benchmarking the Robustness of Semantic Segmentation Models
Benchmarking the Robustness of Semantic Segmentation Models
Christoph Kamann
Carsten Rother
VLM
UQCV
19
160
0
14 Aug 2019
Data Augmentation for Object Detection via Progressive and Selective
  Instance-Switching
Data Augmentation for Object Detection via Progressive and Selective Instance-Switching
Hao Wang
Qilong Wang
Fan Yang
Jiexia Ye
W. Zuo
10
62
0
02 Jun 2019
Dual Active Sampling on Batch-Incremental Active Learning
Dual Active Sampling on Batch-Incremental Active Learning
Johan Phan
M. Ruocco
F. Scibilia
12
0
0
22 May 2019
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
271
5,327
0
05 Nov 2016
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
266
7,638
0
03 Jul 2012
Previous
12