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2003.14348
Cited By
UniformAugment: A Search-free Probabilistic Data Augmentation Approach
31 March 2020
Tom Ching LingChen
Ava Khonsari
Amirreza Lashkari
M. Nazari
Jaspreet Singh Sambee
M. Nascimento
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Papers citing
"UniformAugment: A Search-free Probabilistic Data Augmentation Approach"
39 / 39 papers shown
Sample-aware RandAugment: Search-free Automatic Data Augmentation for Effective Image Recognition
Anqi Xiao
Weichen Yu
Hongyuan Yu
131
5
0
11 Aug 2025
NBBOX: Noisy Bounding Box Improves Remote Sensing Object Detection
IEEE Geoscience and Remote Sensing Letters (GRSL), 2024
Yechan Kim
SooYeon Kim
Moongu Jeon
ViT
462
8
0
08 Jan 2025
Training Strategies for Isolated Sign Language Recognition
Journal of WSCG (WSCG), 2024
Karina Kvanchiani
Roman Kraynov
Elizaveta Petrova
Petr Surovcev
Aleksandr Nagaev
A. Kapitanov
535
1
0
16 Dec 2024
FreeAugment: Data Augmentation Search Across All Degrees of Freedom
European Conference on Computer Vision (ECCV), 2024
Tom Bekor
Niv Nayman
Lihi Zelnik-Manor
ViT
261
4
0
07 Sep 2024
Optimal Layer Selection for Latent Data Augmentation
Neural Networks (NN), 2024
Tomoumi Takase
Ryo Karakida
243
2
0
24 Aug 2024
Your Image is My Video: Reshaping the Receptive Field via Image-To-Video Differentiable AutoAugmentation and Fusion
Computer Vision and Pattern Recognition (CVPR), 2024
S. Casarin
C. Ugwu
Sergio Escalera
Oswald Lanz
282
0
0
22 Mar 2024
Automated data processing and feature engineering for deep learning and big data applications: a survey
Journal of Information and Intelligence (JII), 2024
A. Mumuni
F. Mumuni
TPM
373
152
0
18 Mar 2024
Data augmentation with automated machine learning: approaches and performance comparison with classical data augmentation methods
Knowledge and Information Systems (KAIS), 2024
A. Mumuni
F. Mumuni
479
24
0
13 Mar 2024
SA-Attack: Improving Adversarial Transferability of Vision-Language Pre-training Models via Self-Augmentation
Bangyan He
Yang Liu
Yaning Tan
Tianrui Lou
Yang Liu
Simeng Qin
AAML
VLM
390
40
0
08 Dec 2023
Anchor Data Augmentation
Neural Information Processing Systems (NeurIPS), 2023
Nora Schneider
Shirin Goshtasbpour
Fernando Pérez-Cruz
359
6
0
12 Nov 2023
DualAug: Exploiting Additional Heavy Augmentation with OOD Data Rejection
Zehao Wang
Yiwen Guo
Qizhang Li
Guanglei Yang
Wangmeng Zuo
281
2
0
12 Oct 2023
Domain Generalization by Rejecting Extreme Augmentations
IEEE 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
322
8
0
10 Oct 2023
Integrating GAN and Texture Synthesis for Enhanced Road Damage Detection
Tengyang Chen
Jiangtao Ren
GAN
288
15
0
13 Sep 2023
When to Learn What: Model-Adaptive Data Augmentation Curriculum
IEEE International Conference on Computer Vision (ICCV), 2023
Chengkai Hou
Jieyu Zhang
Wanrong Zhu
310
25
0
09 Sep 2023
On the Efficacy of Multi-scale Data Samplers for Vision Applications
Elvis Nunez
Thomas Merth
Anish K. Prabhu
Mehrdad Farajtabar
Mohammad Rastegari
Sachin Mehta
Maxwell Horton
299
1
0
08 Sep 2023
MedAugment: Universal Automatic Data Augmentation Plug-in for Medical Image Analysis
Zhaoshan Liu
Qiujie Lv
Yifan Li
Ziduo Yang
Leizhao Shen
MedIm
522
27
0
30 Jun 2023
SLACK: Stable Learning of Augmentations with Cold-start and KL regularization
Computer Vision and Pattern Recognition (CVPR), 2023
Juliette Marrie
Michael Arbel
Diane Larlus
Julien Mairal
OffRL
184
7
0
16 Jun 2023
Learning Better with Less: Effective Augmentation for Sample-Efficient Visual Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2023
Guozheng Ma
Linrui Zhang
Haoyu Wang
Lu Li
Zilin Wang
Zhen Wang
Li Shen
Xueqian Wang
Dacheng Tao
291
24
0
25 May 2023
Dynamic Data Augmentation via MCTS for Prostate MRI Segmentation
International Conference on Neural Information Processing (ICONIP), 2023
Xin-Chao Xu
Yu-Tseng Hsi
Hong Wang
Xuelong Li
232
2
0
25 May 2023
Stimulative Training++: Go Beyond The Performance Limits of Residual Networks
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
XinYu Piao
Tong He
DoangJoo Synn
Baopu Li
Tao Chen
Mengwei He
Jong-Kook Kim
227
7
0
04 May 2023
ODIN: On-demand Data Formulation to Mitigate Dataset Lock-in
SP Choi
Jihun Lee
HyeongSeok Ahn
Sanghee Jung
Bumsoo Kang
VLM
178
0
0
13 Mar 2023
RangeAugment: Efficient Online Augmentation with Range Learning
Sachin Mehta
Saeid Naderiparizi
Fartash Faghri
Maxwell Horton
Lailin Chen
Ali Farhadi
Oncel Tuzel
Mohammad Rastegari
194
8
0
20 Dec 2022
Automatic Data Augmentation via Invariance-Constrained Learning
International Conference on Machine Learning (ICML), 2022
Ignacio Hounie
Luiz F. O. Chamon
Alejandro Ribeiro
375
20
0
29 Sep 2022
Universal Adaptive Data Augmentation
International Joint Conference on Artificial Intelligence (IJCAI), 2022
Xiaohan Li
Hengshuang Zhao
297
8
0
14 Jul 2022
Augment like there's no tomorrow: Consistently performing neural networks for medical imaging
J. Pohjonen
Carolin Sturenberg
Atte Fohr
Reija Randén-Brady
L. Luomala
J. Lohi
Esa Pitkanen
A. Rannikko
T. Mirtti
OOD
215
8
0
30 Jun 2022
Exploring Temporally Dynamic Data Augmentation for Video Recognition
International Conference on Learning Representations (ICLR), 2022
Taeoh Kim
Jinhyung Kim
Minho Shim
Sangdoo Yun
Myunggu Kang
Dongyoon Wee
Sangyoun Lee
AI4TS
297
18
0
30 Jun 2022
A Survey of Automated Data Augmentation Algorithms for Deep Learning-based Image Classification Tasks
Knowledge and Information Systems (KAIS), 2022
Z. Yang
Richard Sinnott
James Bailey
Qiuhong Ke
325
66
0
14 Jun 2022
DeiT III: Revenge of the ViT
European Conference on Computer Vision (ECCV), 2022
Hugo Touvron
Matthieu Cord
Edouard Grave
ViT
435
597
0
14 Apr 2022
Deep AutoAugment
International Conference on Learning Representations (ICLR), 2022
Yu Zheng
Zikai Zhang
Shen Yan
Mi Zhang
ViT
371
31
0
11 Mar 2022
TeachAugment: Data Augmentation Optimization Using Teacher Knowledge
Computer Vision and Pattern Recognition (CVPR), 2022
Teppei Suzuki
ViT
330
62
0
25 Feb 2022
Improving the Behaviour of Vision Transformers with Token-consistent Stochastic Layers
Social Science Research Network (SSRN), 2021
Nikola Popovic
D. Paudel
Thomas Probst
Luc Van Gool
408
1
0
30 Dec 2021
Directional Self-supervised Learning for Heavy Image Augmentations
Yalong Bai
Yifan Yang
Wei Zhang
Tao Mei
179
22
0
26 Oct 2021
Man versus Machine: AutoML and Human Experts' Role in Phishing Detection
R. Purwanto
Arindam Pal
Alan Blair
S. Jha
173
6
0
27 Aug 2021
Spectral decoupling allows training transferable neural networks in medical imaging
iScience (iScience), 2021
J. Pohjonen
Carolin Sturenberg
Antti Rannikkoy
T. Mirtti
Esa Pitkanen
OOD
365
12
0
31 Mar 2021
TrivialAugment: Tuning-free Yet State-of-the-Art Data Augmentation
IEEE International Conference on Computer Vision (ICCV), 2021
Samuel G. Müller
Katharina Eggensperger
ViT
MQ
377
379
0
18 Mar 2021
AutoDO: Robust AutoAugment for Biased Data with Label Noise via Scalable Probabilistic Implicit Differentiation
Computer Vision and Pattern Recognition (CVPR), 2021
Denis A. Gudovskiy
Luca Rigazio
Shun Ishizaka
Kazuki Kozuka
Sotaro Tsukizawa
NoLa
198
24
0
10 Mar 2021
In-Loop Meta-Learning with Gradient-Alignment Reward
Samuel G. Müller
André Biedenkapp
Katharina Eggensperger
OOD
302
2
0
05 Feb 2021
TUTOR: Training Neural Networks Using Decision Rules as Model Priors
Shayan Hassantabar
Prerit Terway
N. Jha
410
12
0
12 Oct 2020
AutoML: A Survey of the State-of-the-Art
Knowledge-Based Systems (KBS), 2019
Xin He
Kaiyong Zhao
Xiaowen Chu
913
1,740
0
02 Aug 2019
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