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KeepAugment: A Simple Information-Preserving Data Augmentation Approach

KeepAugment: A Simple Information-Preserving Data Augmentation Approach

23 November 2020
Chengyue Gong
Dilin Wang
Meng Li
Vikas Chandra
Qiang Liu
ArXivPDFHTML

Papers citing "KeepAugment: A Simple Information-Preserving Data Augmentation Approach"

40 / 40 papers shown
Title
When Dynamic Data Selection Meets Data Augmentation
When Dynamic Data Selection Meets Data Augmentation
S. M. I. Simon X. Yang
Peng Ye
F. Shen
Dongzhan Zhou
24
0
0
02 May 2025
Saliency-Based diversity and fairness Metric and
  FaceKeepOriginalAugment: A Novel Approach for Enhancing Fairness and
  Diversity
Saliency-Based diversity and fairness Metric and FaceKeepOriginalAugment: A Novel Approach for Enhancing Fairness and Diversity
Teerath Kumar
Alessandra Mileo
Malika Bendechache
29
0
0
29 Oct 2024
Robust and Explainable Depression Identification from Speech Using
  Vowel-Based Ensemble Learning Approaches
Robust and Explainable Depression Identification from Speech Using Vowel-Based Ensemble Learning Approaches
Kexin Feng
Theodora Chaspari
29
0
0
23 Oct 2024
The Overfocusing Bias of Convolutional Neural Networks: A
  Saliency-Guided Regularization Approach
The Overfocusing Bias of Convolutional Neural Networks: A Saliency-Guided Regularization Approach
David Bertoin
Eduardo Hugo Sanchez
Mehdi Zouitine
Emmanuel Rachelson
28
0
0
25 Sep 2024
EntAugment: Entropy-Driven Adaptive Data Augmentation Framework for
  Image Classification
EntAugment: Entropy-Driven Adaptive Data Augmentation Framework for Image Classification
Suorong Yang
F. Shen
Jian Zhao
AAML
29
1
0
10 Sep 2024
AdaAugment: A Tuning-Free and Adaptive Approach to Enhance Data
  Augmentation
AdaAugment: A Tuning-Free and Adaptive Approach to Enhance Data Augmentation
Suorong Yang
Peijia Li
Xin Xiong
Shen Furao
Jian Zhao
24
1
0
19 May 2024
KeepOriginalAugment: Single Image-based Better Information-Preserving
  Data Augmentation Approach
KeepOriginalAugment: Single Image-based Better Information-Preserving Data Augmentation Approach
Teerath Kumar
Alessandra Mileo
Malika Bendechache
AAML
23
4
0
10 May 2024
CAAP: Class-Dependent Automatic Data Augmentation Based On Adaptive
  Policies For Time Series
CAAP: Class-Dependent Automatic Data Augmentation Based On Adaptive Policies For Time Series
Tien-Yu Chang
Hao Dai
Vincent S. Tseng
AI4TS
27
0
0
01 Apr 2024
Automated data processing and feature engineering for deep learning and
  big data applications: a survey
Automated data processing and feature engineering for deep learning and big data applications: a survey
A. Mumuni
F. Mumuni
TPM
38
47
0
18 Mar 2024
PBES: PCA Based Exemplar Sampling Algorithm for Continual Learning
PBES: PCA Based Exemplar Sampling Algorithm for Continual Learning
Sahil Nokhwal
Nirman Kumar
CLL
28
3
0
14 Dec 2023
SimPSI: A Simple Strategy to Preserve Spectral Information in Time Series Data Augmentation
SimPSI: A Simple Strategy to Preserve Spectral Information in Time Series Data Augmentation
Hyun Ryu
Sunjae Yoon
Hee Suk Yoon
Eunseop Yoon
Changdong Yoo
AI4TS
22
2
0
10 Dec 2023
DualAug: Exploiting Additional Heavy Augmentation with OOD Data
  Rejection
DualAug: Exploiting Additional Heavy Augmentation with OOD Data Rejection
Zehao Wang
Yiwen Guo
Qizhang Li
Guanglei Yang
Wangmeng Zuo
20
0
0
12 Oct 2023
LEMON: Lossless model expansion
LEMON: Lossless model expansion
Yite Wang
Jiahao Su
Hanlin Lu
Cong Xie
Tianyi Liu
Jianbo Yuan
Haibin Lin
Ruoyu Sun
Hongxia Yang
17
12
0
12 Oct 2023
Domain Generalization by Rejecting Extreme Augmentations
Domain Generalization by Rejecting Extreme Augmentations
Masih Aminbeidokhti
F. Guerrero-Peña
H. R. Medeiros
Thomas Dubail
Eric Granger
M. Pedersoli
ViT
30
3
0
10 Oct 2023
IPMix: Label-Preserving Data Augmentation Method for Training Robust
  Classifiers
IPMix: Label-Preserving Data Augmentation Method for Training Robust Classifiers
Zhenglin Huang
Xianan Bao
Na Zhang
Qingqi Zhang
Xiaomei Tu
Biao Wu
Xi Yang
25
7
0
07 Oct 2023
Mixing Data Augmentation with Preserving Foreground Regions in Medical
  Image Segmentation
Mixing Data Augmentation with Preserving Foreground Regions in Medical Image Segmentation
Xiaoqing Liu
Kenji Ono
Ryoma Bise
28
4
0
26 Apr 2023
Hint-Aug: Drawing Hints from Foundation Vision Transformers Towards
  Boosted Few-Shot Parameter-Efficient Tuning
Hint-Aug: Drawing Hints from Foundation Vision Transformers Towards Boosted Few-Shot Parameter-Efficient Tuning
Zhongzhi Yu
Shang Wu
Y. Fu
Shunyao Zhang
Yingyan Lin
25
6
0
25 Apr 2023
Use the Detection Transformer as a Data Augmenter
Use the Detection Transformer as a Data Augmenter
Luping Wang
B. Liu
ViT
19
0
0
10 Apr 2023
FrAug: Frequency Domain Augmentation for Time Series Forecasting
FrAug: Frequency Domain Augmentation for Time Series Forecasting
Mu-Hwa Chen
Zhijian Xu
Ailing Zeng
Qiang Xu
AI4TS
13
8
0
18 Feb 2023
AdvMask: A Sparse Adversarial Attack Based Data Augmentation Method for
  Image Classification
AdvMask: A Sparse Adversarial Attack Based Data Augmentation Method for Image Classification
Suorong Yang
Jinqiao Li
Jian Zhao
S. Furao
AAML
22
6
0
29 Nov 2022
Background-Mixed Augmentation for Weakly Supervised Change Detection
Background-Mixed Augmentation for Weakly Supervised Change Detection
Rui Huang
Ruofei Wang
Qing-Wu Guo
Jieda Wei
Yuxiang Zhang
Wei Fan
Yang Liu
11
24
0
21 Nov 2022
Feature Weaken: Vicinal Data Augmentation for Classification
Feature Weaken: Vicinal Data Augmentation for Classification
Songhao Jiang
Yan Chu
Tian-Hui Ma
Tianning Zang
23
0
0
20 Nov 2022
SAGE: Saliency-Guided Mixup with Optimal Rearrangements
SAGE: Saliency-Guided Mixup with Optimal Rearrangements
A. Ma
Nikita Dvornik
Ran Zhang
Leila Pishdad
Konstantinos G. Derpanis
Afsaneh Fazly
18
6
0
31 Oct 2022
A knowledge-driven vowel-based approach of depression classification
  from speech using data augmentation
A knowledge-driven vowel-based approach of depression classification from speech using data augmentation
Kexin Feng
Theodora Chaspari
19
6
0
27 Oct 2022
SageMix: Saliency-Guided Mixup for Point Clouds
SageMix: Saliency-Guided Mixup for Point Clouds
S. Lee
Minkyu Jeon
In-Ho Kim
Yunyang Xiong
Hyunwoo J. Kim
3DPC
29
27
0
13 Oct 2022
A Comprehensive Survey of Data Augmentation in Visual Reinforcement
  Learning
A Comprehensive Survey of Data Augmentation in Visual Reinforcement Learning
Guozheng Ma
Zhen Wang
Zhecheng Yuan
Xueqian Wang
Bo Yuan
Dacheng Tao
OffRL
30
26
0
10 Oct 2022
SemAug: Semantically Meaningful Image Augmentations for Object Detection
  Through Language Grounding
SemAug: Semantically Meaningful Image Augmentations for Object Detection Through Language Grounding
M. Heisler
Amin Banitalebi-Dehkordi
Yong Zhang
ObjD
14
2
0
15 Aug 2022
Saliency Map Based Data Augmentation
Saliency Map Based Data Augmentation
Jalal Al-Afandi
B. Magyar
András Horváth
11
0
0
29 May 2022
ReSmooth: Detecting and Utilizing OOD Samples when Training with Data
  Augmentation
ReSmooth: Detecting and Utilizing OOD Samples when Training with Data Augmentation
Chenyang Wang
Junjun Jiang
Xiong Zhou
Xianming Liu
32
3
0
25 May 2022
Augmentation-induced Consistency Regularization for Classification
Augmentation-induced Consistency Regularization for Classification
Jianguo Wu
Shijing Si
Jianzong Wang
Jing Xiao
21
2
0
25 May 2022
Image Data Augmentation for Deep Learning: A Survey
Image Data Augmentation for Deep Learning: A Survey
Suorong Yang
Wei-Ting Xiao
Mengcheng Zhang
Suhan Guo
Jian Zhao
S. Furao
16
232
0
19 Apr 2022
Adversarial Counterfactual Augmentation: Application in Alzheimer's
  Disease Classification
Adversarial Counterfactual Augmentation: Application in Alzheimer's Disease Classification
Tian Xia
Pedro Sanchez
C. Qin
Sotirios A. Tsaftaris
OOD
MedIm
24
12
0
15 Mar 2022
CEKD:Cross Ensemble Knowledge Distillation for Augmented Fine-grained
  Data
CEKD:Cross Ensemble Knowledge Distillation for Augmented Fine-grained Data
Ke Zhang
Jin Fan
Shaoli Huang
Yongliang Qiao
Xiaofeng Yu
Fei-wei Qin
18
2
0
13 Mar 2022
Unified smoke and fire detection in an evolutionary framework with
  self-supervised progressive data augment
Unified smoke and fire detection in an evolutionary framework with self-supervised progressive data augment
Han Zhang
Suyan Yang
Hongyong Wang
zhongyan lu
Helin Sun
14
0
0
16 Feb 2022
ImportantAug: a data augmentation agent for speech
ImportantAug: a data augmentation agent for speech
V. Trinh
Hassan Salami Kavaki
Michael I. Mandel
16
10
0
14 Dec 2021
TransMix: Attend to Mix for Vision Transformers
TransMix: Attend to Mix for Vision Transformers
Jieneng Chen
Shuyang Sun
Ju He
Philip H. S. Torr
Alan Yuille
S. Bai
ViT
20
103
0
18 Nov 2021
What augmentations are sensitive to hyper-parameters and why?
What augmentations are sensitive to hyper-parameters and why?
Ch Muhammad Awais
I. E. I. Bekkouch
AAML
15
1
0
06 Nov 2021
CutDepth:Edge-aware Data Augmentation in Depth Estimation
CutDepth:Edge-aware Data Augmentation in Depth Estimation
Yasunori Ishii
Takayoshi Yamashita
MDE
17
26
0
16 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
30
78
0
13 Jun 2021
Local Patch AutoAugment with Multi-Agent Collaboration
Local Patch AutoAugment with Multi-Agent Collaboration
Shiqi Lin
Tao Yu
Ruoyu Feng
Xin Li
Xin Jin
Zhibo Chen
11
15
0
20 Mar 2021
1