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Improved Mixed-Example Data Augmentation

Improved Mixed-Example Data Augmentation

29 May 2018
Cecilia Summers
M. Dinneen
ArXivPDFHTML

Papers citing "Improved Mixed-Example Data Augmentation"

19 / 19 papers shown
Title
Tailoring Mixup to Data for Calibration
Tailoring Mixup to Data for Calibration
Quentin Bouniot
Pavlo Mozharovskyi
Florence dÁlché-Buc
58
1
0
02 Nov 2023
Physical Knowledge Enhanced Deep Neural Network for Sea Surface
  Temperature Prediction
Physical Knowledge Enhanced Deep Neural Network for Sea Surface Temperature Prediction
Yuxin Meng
Feng Gao
Eric Rigall
Ran Dong
Junyu Dong
Q. Du
23
20
0
19 Apr 2023
Deep Learning Training Procedure Augmentations
Deep Learning Training Procedure Augmentations
Cristian Simionescu
11
1
0
25 Nov 2022
Extending Temporal Data Augmentation for Video Action Recognition
Extending Temporal Data Augmentation for Video Action Recognition
Artjoms Gorpincenko
Michal Mackiewicz
ViT
21
4
0
09 Nov 2022
Light In The Black: An Evaluation of Data Augmentation Techniques for
  COVID-19 CT's Semantic Segmentation
Light In The Black: An Evaluation of Data Augmentation Techniques for COVID-19 CT's Semantic Segmentation
Bruno A. Krinski
Daniel V. Ruiz
E. Todt
3DPC
32
2
0
19 May 2022
Contrastive-mixup learning for improved speaker verification
Contrastive-mixup learning for improved speaker verification
Xin Zhang
Minho Jin
R. Cheng
Ruirui Li
Eunjung Han
A. Stolcke
AAML
SSL
23
10
0
22 Feb 2022
Data augmentation through multivariate scenario forecasting in Data
  Centers using Generative Adversarial Networks
Data augmentation through multivariate scenario forecasting in Data Centers using Generative Adversarial Networks
J. Pérez
Patricia Arroba
Jose M. Moya
27
14
0
12 Jan 2022
The Majority Can Help The Minority: Context-rich Minority Oversampling
  for Long-tailed Classification
The Majority Can Help The Minority: Context-rich Minority Oversampling for Long-tailed Classification
Seulki Park
Youngkyu Hong
Byeongho Heo
Sangdoo Yun
J. Choi
17
146
0
01 Dec 2021
Training Lightweight CNNs for Human-Nanodrone Proximity Interaction from
  Small Datasets using Background Randomization
Training Lightweight CNNs for Human-Nanodrone Proximity Interaction from Small Datasets using Background Randomization
Marco Ferri
Dario Mantegazza
Elia Cereda
Nicky Zimmerman
L. Gambardella
Daniele Palossi
Jérôme Guzzi
Alessandro Giusti
26
0
0
27 Oct 2021
SynFace: Face Recognition with Synthetic Data
SynFace: Face Recognition with Synthetic Data
Haibo Qiu
Baosheng Yu
Dihong Gong
Zhifeng Li
Wei Liu
Dacheng Tao
19
124
0
18 Aug 2021
An overview of mixing augmentation methods and augmentation strategies
An overview of mixing augmentation methods and augmentation strategies
Dominik Lewy
Jacek Mañdziuk
23
60
0
21 Jul 2021
Fine-Grained AutoAugmentation for Multi-Label Classification
Fine-Grained AutoAugmentation for Multi-Label Classification
Y. Wang
Hesen Chen
Fangyi Zhang
Yaohua Wang
Xiuyu Sun
Ming Lin
Hao Li
16
2
0
12 Jul 2021
Survey: Image Mixing and Deleting for Data Augmentation
Survey: Image Mixing and Deleting for Data Augmentation
Humza Naveed
Saeed Anwar
Munawar Hayat
Kashif Javed
Ajmal Mian
35
78
0
13 Jun 2021
AlignMixup: Improving Representations By Interpolating Aligned Features
AlignMixup: Improving Representations By Interpolating Aligned Features
Shashanka Venkataramanan
Ewa Kijak
Laurent Amsaleg
Yannis Avrithis
WSOL
30
61
0
29 Mar 2021
Tilting at windmills: Data augmentation for deep pose estimation does
  not help with occlusions
Tilting at windmills: Data augmentation for deep pose estimation does not help with occlusions
Rafal Pytel
O. Kayhan
J. C. V. Gemert
3DPC
22
6
0
20 Oct 2020
Mixup-CAM: Weakly-supervised Semantic Segmentation via Uncertainty
  Regularization
Mixup-CAM: Weakly-supervised Semantic Segmentation via Uncertainty Regularization
Yu-Ting Chang
Qiaosong Wang
Wei-Chih Hung
Robinson Piramuthu
Yi-Hsuan Tsai
Ming-Hsuan Yang
UQCV
WSOL
22
34
0
03 Aug 2020
Human-Expert-Level Brain Tumor Detection Using Deep Learning with Data
  Distillation and Augmentation
Human-Expert-Level Brain Tumor Detection Using Deep Learning with Data Distillation and Augmentation
D. Lu
N. Polomac
Iskra Gacheva
E. Hattingen
Jochen Triesch
16
18
0
17 Jun 2020
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
306
4,686
0
13 May 2019
Good-Enough Compositional Data Augmentation
Good-Enough Compositional Data Augmentation
Jacob Andreas
30
230
0
21 Apr 2019
1