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  4. Cited By
Faster AutoAugment: Learning Augmentation Strategies using
  Backpropagation

Faster AutoAugment: Learning Augmentation Strategies using Backpropagation

European Conference on Computer Vision (ECCV), 2019
16 November 2019
Ryuichiro Hataya
Jan Zdenek
Kazuki Yoshizoe
Hideki Nakayama
ArXiv (abs)PDFHTML

Papers citing "Faster AutoAugment: Learning Augmentation Strategies using Backpropagation"

50 / 99 papers shown
Title
Sample-aware RandAugment: Search-free Automatic Data Augmentation for Effective Image Recognition
Sample-aware RandAugment: Search-free Automatic Data Augmentation for Effective Image Recognition
Anqi Xiao
Weichen Yu
Hongyuan Yu
92
1
0
11 Aug 2025
Optimizing Data Augmentation through Bayesian Model Selection
Optimizing Data Augmentation through Bayesian Model Selection
Madi Matymov
Ba-Hien Tran
Michael Kampffmeyer
Markus Heinonen
Maurizio Filippone
249
1
0
27 May 2025
IMPROVE: Iterative Model Pipeline Refinement and Optimization Leveraging LLM Experts
IMPROVE: Iterative Model Pipeline Refinement and Optimization Leveraging LLM Experts
Eric Xue
Zeyi Huang
Zeyi Huang
Haohan Wang
Yong Jae Lee
378
1
0
25 Feb 2025
Test-Time Augmentation Meets Variational Bayes
Test-Time Augmentation Meets Variational Bayes
Masanari Kimura
Howard Bondell
OODBDLTDI
263
2
0
19 Sep 2024
FreeAugment: Data Augmentation Search Across All Degrees of Freedom
FreeAugment: Data Augmentation Search Across All Degrees of FreedomEuropean Conference on Computer Vision (ECCV), 2024
Tom Bekor
Niv Nayman
Lihi Zelnik-Manor
ViT
218
2
0
07 Sep 2024
SUMix: Mixup with Semantic and Uncertain Information
SUMix: Mixup with Semantic and Uncertain Information
Huafeng Qin
Xin Jin
Hongyu Zhu
Hongchao Liao
M. El-Yacoubi
Xinbo Gao
UQCV
325
14
0
10 Jul 2024
DDA: Dimensionality Driven Augmentation Search for Contrastive Learning
  in Laparoscopic Surgery
DDA: Dimensionality Driven Augmentation Search for Contrastive Learning in Laparoscopic Surgery
Yuning Zhou
H. Badgery
Matthew Read
James Bailey
Catherine E. Davey
177
2
0
03 Jun 2024
AdaAugment: A Tuning-Free and Adaptive Approach to Enhance Data Augmentation
AdaAugment: A Tuning-Free and Adaptive Approach to Enhance Data AugmentationIEEE Transactions on Image Processing (TIP), 2024
Suorong Yang
Peijia Li
Xin Xiong
Shen Furao
Furao Shen
365
9
0
19 May 2024
KeepOriginalAugment: Single Image-based Better Information-Preserving
  Data Augmentation Approach
KeepOriginalAugment: Single Image-based Better Information-Preserving Data Augmentation ApproachArtificial Intelligence Applications and Innovations (AIAI), 2024
Teerath Kumar
Alessandra Mileo
Malika Bendechache
AAML
296
6
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
170
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 surveyJournal of Information and Intelligence (JII), 2024
A. Mumuni
F. Mumuni
TPM
248
123
0
18 Mar 2024
Data augmentation with automated machine learning: approaches and performance comparison with classical data augmentation methods
Data augmentation with automated machine learning: approaches and performance comparison with classical data augmentation methodsKnowledge and Information Systems (KAIS), 2024
A. Mumuni
F. Mumuni
351
14
0
13 Mar 2024
Boosting Semi-Supervised 2D Human Pose Estimation by Revisiting Data Augmentation and Consistency Training
Boosting Semi-Supervised 2D Human Pose Estimation by Revisiting Data Augmentation and Consistency Training
Huayi Zhou
Mukun Luo
Fei Jiang
Yue Ding
Hongtao Lu
Kui Jia
418
0
0
18 Feb 2024
Parametric Augmentation for Time Series Contrastive Learning
Parametric Augmentation for Time Series Contrastive Learning
Xu Zheng
Tianchun Wang
Wei Cheng
Aitian Ma
Haifeng Chen
Mo Sha
Dongsheng Luo
AI4TS
210
25
0
16 Feb 2024
Understanding Test-Time Augmentation
Understanding Test-Time Augmentation
Masanari Kimura
ViT
150
49
0
10 Feb 2024
Adversarial Augmentation Training Makes Action Recognition Models More Robust to Realistic Video Distribution Shifts
Adversarial Augmentation Training Makes Action Recognition Models More Robust to Realistic Video Distribution ShiftsInternational Conferences on Pattern Recognition and Artificial Intelligence (ICCPRAI), 2024
Kiyoon Kim
Shreyank N. Gowda
Panagiotis Eustratiadis
Antreas Antoniou
Robert B Fisher
338
2
0
21 Jan 2024
AutoFT: Learning an Objective for Robust Fine-Tuning
AutoFT: Learning an Objective for Robust Fine-Tuning
Caroline Choi
Yoonho Lee
Annie S. Chen
Allan Zhou
Aditi Raghunathan
Chelsea Finn
OOD
317
1
0
18 Jan 2024
AutoAugment Input Transformation for Highly Transferable Targeted
  Attacks
AutoAugment Input Transformation for Highly Transferable Targeted Attacks
Haobo Lu
Xin Liu
Kun He
AAML
215
0
0
21 Dec 2023
Towards Automatic Data Augmentation for Disordered Speech Recognition
Towards Automatic Data Augmentation for Disordered Speech RecognitionIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Zengrui Jin
Xurong Xie
Tianzi Wang
Mengzhe Geng
Jiajun Deng
Guinan Li
Shujie Hu
Xunying Liu
164
7
0
14 Dec 2023
Understanding the Detrimental Class-level Effects of Data Augmentation
Understanding the Detrimental Class-level Effects of Data Augmentation
Polina Kirichenko
Mark Ibrahim
Randall Balestriero
Diane Bouchacourt
Ramakrishna Vedantam
Hamed Firooz
Andrew Gordon Wilson
278
17
0
07 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
198
2
0
12 Oct 2023
Domain Generalization by Rejecting Extreme Augmentations
Domain Generalization by Rejecting Extreme AugmentationsIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Masih Aminbeidokhti
F. Guerrero-Peña
H. R. Medeiros
Thomas Dubail
Eric Granger
M. Pedersoli
ViT
188
8
0
10 Oct 2023
Targeted Image Data Augmentation Increases Basic Skills Captioning
  Robustness
Targeted Image Data Augmentation Increases Basic Skills Captioning RobustnessIEEE Games Entertainment Media Conference (IEEE GEM), 2023
Valentin Barriere
Felipe del Rio
Andres Carvallo De Ferari
Carlos Aspillaga
Eugenio Herrera-Berg
Cristian Buc Calderon
DiffM
220
0
0
27 Sep 2023
Differentiable JPEG: The Devil is in the Details
Differentiable JPEG: The Devil is in the DetailsIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Christoph Reich
Biplob K. Debnath
Deep Patel
S. Chakradhar
DiffM
251
19
0
13 Sep 2023
When to Learn What: Model-Adaptive Data Augmentation Curriculum
When to Learn What: Model-Adaptive Data Augmentation CurriculumIEEE International Conference on Computer Vision (ICCV), 2023
Chengkai Hou
Jieyu Zhang
Wanrong Zhu
203
21
0
09 Sep 2023
Automatic Data Augmentation Learning using Bilevel Optimization for
  Histopathological Images
Automatic Data Augmentation Learning using Bilevel Optimization for Histopathological Images
Saypraseuth Mounsaveng
I. Laradji
David Vázquez
M. Pedersoli
Ismail Ben Ayed
OOD
135
1
0
21 Jul 2023
SLACK: Stable Learning of Augmentations with Cold-start and KL
  regularization
SLACK: Stable Learning of Augmentations with Cold-start and KL regularizationComputer Vision and Pattern Recognition (CVPR), 2023
Juliette Marrie
Michael Arbel
Diane Larlus
Julien Mairal
OffRL
143
6
0
16 Jun 2023
AROID: Improving Adversarial Robustness through Online Instance-wise
  Data Augmentation
AROID: Improving Adversarial Robustness through Online Instance-wise Data AugmentationInternational Journal of Computer Vision (IJCV), 2023
Lin Li
Jianing Qiu
Michael W. Spratling
AAML
148
8
0
12 Jun 2023
Unsupervised augmentation optimization for few-shot medical image
  segmentation
Unsupervised augmentation optimization for few-shot medical image segmentation
Quan Quan
Shang Zhao
Qingsong Yao
Heqin Zhu
S. Kevin Zhou
230
1
0
08 Jun 2023
Revisiting Data Augmentation in Model Compression: An Empirical and
  Comprehensive Study
Revisiting Data Augmentation in Model Compression: An Empirical and Comprehensive StudyIEEE International Joint Conference on Neural Network (IJCNN), 2023
Muzhou Yu
Linfeng Zhang
Kaisheng Ma
188
2
0
22 May 2023
LatentAugment: Dynamically Optimized Latent Probabilities of Data
  Augmentation
LatentAugment: Dynamically Optimized Latent Probabilities of Data Augmentation
K. Kuriyama
127
2
0
04 May 2023
LA3: Efficient Label-Aware AutoAugment
LA3: Efficient Label-Aware AutoAugmentEuropean Conference on Computer Vision (ECCV), 2023
Mingjun Zhao
Sha Lu
Zixuan Wang
Xiaoli Wang
Di Niu
172
1
0
20 Apr 2023
Adaptive Data Augmentation for Contrastive Learning
Adaptive Data Augmentation for Contrastive LearningIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Yu-Hui Zhang
He Zhu
Shan Yu
186
9
0
05 Apr 2023
Principles of Forgetting in Domain-Incremental Semantic Segmentation in
  Adverse Weather Conditions
Principles of Forgetting in Domain-Incremental Semantic Segmentation in Adverse Weather ConditionsComputer Vision and Pattern Recognition (CVPR), 2023
Tobias Kalb
Jürgen Beyerer
CLL
244
6
0
24 Mar 2023
Time Series Contrastive Learning with Information-Aware Augmentations
Time Series Contrastive Learning with Information-Aware AugmentationsAAAI Conference on Artificial Intelligence (AAAI), 2023
Dongsheng Luo
Wei Cheng
Yingheng Wang
Dongkuan Xu
Jingchao Ni
...
Xuchao Zhang
Yanchi Liu
Yuncong Chen
Haifeng Chen
Xiang Zhang
AI4TS
121
102
0
21 Mar 2023
CUDA: Curriculum of Data Augmentation for Long-Tailed Recognition
CUDA: Curriculum of Data Augmentation for Long-Tailed RecognitionInternational Conference on Learning Representations (ICLR), 2023
Sumyeong Ahn
Jongwoo Ko
Se-Young Yun
230
43
0
10 Feb 2023
On Implicit Bias in Overparameterized Bilevel Optimization
On Implicit Bias in Overparameterized Bilevel OptimizationInternational Conference on Machine Learning (ICML), 2022
Paul Vicol
Jon Lorraine
Fabian Pedregosa
David Duvenaud
Roger C. Grosse
AI4CE
242
45
0
28 Dec 2022
Meta-Learning for Color-to-Infrared Cross-Modal Style Transfer
Meta-Learning for Color-to-Infrared Cross-Modal Style TransferIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Evelyn A. Stump
Francesco Luzi
L. Collins
Jordan M. Malof
199
1
0
24 Dec 2022
RangeAugment: Efficient Online Augmentation with Range Learning
RangeAugment: Efficient Online Augmentation with Range Learning
Sachin Mehta
Saeid Naderiparizi
Fartash Faghri
Maxwell Horton
Lailin Chen
Ali Farhadi
Oncel Tuzel
Mohammad Rastegari
135
7
0
20 Dec 2022
Dynamic Test-Time Augmentation via Differentiable Functions
Dynamic Test-Time Augmentation via Differentiable FunctionsIEEE Access (IEEE Access), 2022
Shohei Enomoto
Monikka Roslianna Busto
Takeharu Eda
OOD
333
7
0
09 Dec 2022
Local Magnification for Data and Feature Augmentation
Local Magnification for Data and Feature Augmentation
Kun He
Chang-rui Liu
Stephen Lin
John E. Hopcroft
158
2
0
15 Nov 2022
Cold Start Streaming Learning for Deep Networks
Cold Start Streaming Learning for Deep Networks
Cameron R. Wolfe
Anastasios Kyrillidis
CLL
164
3
0
09 Nov 2022
Automatic Data Augmentation via Invariance-Constrained Learning
Automatic Data Augmentation via Invariance-Constrained LearningInternational Conference on Machine Learning (ICML), 2022
Ignacio Hounie
Luiz F. O. Chamon
Alejandro Ribeiro
310
17
0
29 Sep 2022
Auto Machine Learning for Medical Image Analysis by Unifying the Search
  on Data Augmentation and Neural Architecture
Auto Machine Learning for Medical Image Analysis by Unifying the Search on Data Augmentation and Neural Architecture
Jianwei Zhang
Dong Li
Lituan Wang
Lei Zhang
143
2
0
21 Jul 2022
Universal Adaptive Data Augmentation
Universal Adaptive Data AugmentationInternational Joint Conference on Artificial Intelligence (IJCAI), 2022
Xiaohan Li
Hengshuang Zhao
90
6
0
14 Jul 2022
A Survey of Automated Data Augmentation Algorithms for Deep
  Learning-based Image Classification Tasks
A Survey of Automated Data Augmentation Algorithms for Deep Learning-based Image Classification TasksKnowledge and Information Systems (KAIS), 2022
Z. Yang
Richard Sinnott
James Bailey
Qiuhong Ke
215
56
0
14 Jun 2022
Masked Autoencoders are Robust Data Augmentors
Masked Autoencoders are Robust Data Augmentors
Haohang Xu
Shuangrui Ding
Xiaopeng Zhang
H. Xiong
325
30
0
10 Jun 2022
Learning Instance-Specific Augmentations by Capturing Local Invariances
Learning Instance-Specific Augmentations by Capturing Local InvariancesInternational Conference on Machine Learning (ICML), 2022
Ning Miao
Tom Rainforth
Emile Mathieu
Yann Dubois
Yee Whye Teh
Adam Foster
Hyunjik Kim
423
14
0
31 May 2022
ReSmooth: Detecting and Utilizing OOD Samples when Training with Data
  Augmentation
ReSmooth: Detecting and Utilizing OOD Samples when Training with Data AugmentationIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Chenyang Wang
Junjun Jiang
Xiong Zhou
Xianming Liu
173
6
0
25 May 2022
A Comprehensive Survey of Image Augmentation Techniques for Deep
  Learning
A Comprehensive Survey of Image Augmentation Techniques for Deep LearningPattern Recognition (Pattern Recogn.), 2022
Mingle Xu
Sook Yoon
A. Fuentes
D. Park
VLM
301
528
0
03 May 2022
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