UniformAugment: A Search-free Probabilistic Data Augmentation Approach

31 March 2020

Jaspreet Singh Sambee

M. Nascimento

ArXiv PDF HTML

Papers citing "UniformAugment: A Search-free Probabilistic Data Augmentation Approach"

39 / 39 papers shown

Title
NBBOX: Noisy Bounding Box Improves Remote Sensing Object Detection Yechan Kim SooYeon Kim Moongu Jeon ViT 40 1 0 08 Jan 2025
Training Strategies for Isolated Sign Language Recognition Karina Kvanchiani Roman Kraynov Elizaveta Petrova Petr Surovcev Aleksandr Nagaev A. Kapitanov 76 1 0 16 Dec 2024
FreeAugment: Data Augmentation Search Across All Degrees of Freedom Tom Bekor Niv Nayman Lihi Zelnik-Manor ViT 44 0 0 07 Sep 2024
Optimal Layer Selection for Latent Data Augmentation Tomoumi Takase Ryo Karakida 28 1 0 24 Aug 2024
Your Image is My Video: Reshaping the Receptive Field via Image-To-Video Differentiable AutoAugmentation and Fusion S. Casarin C. Ugwu Sergio Escalera O. Lanz 28 0 0 22 Mar 2024
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
Data augmentation with automated machine learning: approaches and performance comparison with classical data augmentation methods A. Mumuni F. Mumuni 60 5 0 13 Mar 2024
SA-Attack: Improving Adversarial Transferability of Vision-Language Pre-training Models via Self-Augmentation Bangyan He Xiaojun Jia Siyuan Liang Tianrui Lou Yang Liu Xiaochun Cao AAML VLM 24 23 0 08 Dec 2023
Anchor Data Augmentation Nora Schneider Shirin Goshtasbpour Fernando Pérez-Cruz 16 6 0 12 Nov 2023
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
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
Integrating GAN and Texture Synthesis for Enhanced Road Damage Detection Tengyang Chen Jiangtao Ren GAN 17 4 0 13 Sep 2023
When to Learn What: Model-Adaptive Data Augmentation Curriculum Chengkai Hou Jieyu Zhang Tianyi Zhou 27 15 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 23 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 32 13 0 30 Jun 2023
SLACK: Stable Learning of Augmentations with Cold-start and KL regularization Juliette Marrie Michael Arbel Diane Larlus Julien Mairal OffRL 36 4 0 16 Jun 2023
Learning Better with Less: Effective Augmentation for Sample-Efficient Visual Reinforcement Learning Guozheng Ma Linrui Zhang Haoyu Wang Lu Li Zilin Wang Zhen Wang Li Shen Xueqian Wang Dacheng Tao 42 10 0 25 May 2023
Dynamic Data Augmentation via MCTS for Prostate MRI Segmentation Xin-Chao Xu Yu-Tseng Hsi Hong Wang X. Li 19 0 0 25 May 2023
Stimulative Training++: Go Beyond The Performance Limits of Residual Networks XinYu Piao Tong He DoangJoo Synn Baopu Li Tao Chen Lei Bai Jong-Kook Kim 44 4 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 16 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 21 6 0 20 Dec 2022
Automatic Data Augmentation via Invariance-Constrained Learning Ignacio Hounie Luiz F. O. Chamon Alejandro Ribeiro 23 10 0 29 Sep 2022
Universal Adaptive Data Augmentation Xiaogang Xu Hengshuang Zhao 14 5 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 19 3 0 30 Jun 2022
Exploring Temporally Dynamic Data Augmentation for Video Recognition Taeoh Kim Jinhyung Kim Minho Shim Sangdoo Yun Myunggu Kang Dongyoon Wee Sangyoun Lee AI4TS 15 10 0 30 Jun 2022
A Survey of Automated Data Augmentation Algorithms for Deep Learning-based Image Classification Tasks Z. Yang Richard Sinnott James Bailey Qiuhong Ke 16 39 0 14 Jun 2022
DeiT III: Revenge of the ViT Hugo Touvron Matthieu Cord Hervé Jégou ViT 39 388 0 14 Apr 2022
Deep AutoAugment Yu Zheng Z. Zhang Shen Yan Mi Zhang ViT 13 26 0 11 Mar 2022
TeachAugment: Data Augmentation Optimization Using Teacher Knowledge Teppei Suzuki ViT 13 48 0 25 Feb 2022
Improving the Behaviour of Vision Transformers with Token-consistent Stochastic Layers Nikola Popovic D. Paudel Thomas Probst Luc Van Gool 31 1 0 30 Dec 2021
Directional Self-supervised Learning for Heavy Image Augmentations Yalong Bai Yifan Yang Wei Zhang Tao Mei 18 20 0 26 Oct 2021
Man versus Machine: AutoML and Human Experts' Role in Phishing Detection R. Purwanto Arindam Pal Alan Blair S. Jha 21 1 0 27 Aug 2021
Spectral decoupling allows training transferable neural networks in medical imaging J. Pohjonen Carolin Sturenberg Antti Rannikkoy T. Mirtti Esa Pitkanen OOD 16 10 0 31 Mar 2021
TrivialAugment: Tuning-free Yet State-of-the-Art Data Augmentation Samuel G. Müller Frank Hutter ViT MQ 16 274 0 18 Mar 2021
AutoDO: Robust AutoAugment for Biased Data with Label Noise via Scalable Probabilistic Implicit Differentiation Denis A. Gudovskiy Luca Rigazio Shun Ishizaka Kazuki Kozuka Sotaro Tsukizawa NoLa 22 21 0 10 Mar 2021
In-Loop Meta-Learning with Gradient-Alignment Reward Samuel G. Müller André Biedenkapp Frank Hutter OOD 15 2 0 05 Feb 2021
TUTOR: Training Neural Networks Using Decision Rules as Model Priors Shayan Hassantabar Prerit Terway N. Jha 25 10 0 12 Oct 2020
AutoML: A Survey of the State-of-the-Art Xin He Kaiyong Zhao X. Chu 17 1,418 0 02 Aug 2019
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 264 5,326 0 05 Nov 2016