Fast AutoAugment

1 May 2019

Papers citing "Fast AutoAugment"

50 / 130 papers shown

Title
EntAugment: Entropy-Driven Adaptive Data Augmentation Framework for Image Classification Suorong Yang Furao Shen Jian Zhao AAML 39 1 0 10 Sep 2024
SUMix: Mixup with Semantic and Uncertain Information Huafeng Qin Xin Jin Hongyu Zhu Hongchao Liao M. El-Yacoubi Xinbo Gao UQCV 53 6 0 10 Jul 2024
A Comprehensive Survey on Data Augmentation Zaitian Wang Pengfei Wang Kunpeng Liu Pengyang Wang Yanjie Fu Chang-Tien Lu Charu Aggarwal Jian Pei Yuanchun Zhou ViT 109 23 0 15 May 2024
Data Augmentation Policy Search for Long-Term Forecasting Liran Nochumsohn Omri Azencot AI4TS TPM 48 3 0 01 May 2024
Heterogeneous Contrastive Learning for Foundation Models and Beyond Lecheng Zheng Baoyu Jing Zihao Li Hanghang Tong Jingrui He VLM 48 19 0 30 Mar 2024
Data augmentation with automated machine learning: approaches and performance comparison with classical data augmentation methods A. Mumuni F. Mumuni 70 5 0 13 Mar 2024
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 48 0 0 18 Feb 2024
Understanding Test-Time Augmentation Masanari Kimura ViT 24 29 0 10 Feb 2024
MGAug: Multimodal Geometric Augmentation in Latent Spaces of Image Deformations Tonmoy Hossain Miaomiao Zhang 36 2 0 20 Dec 2023
Data Scarcity in Recommendation Systems: A Survey Zefeng Chen Wensheng Gan Jiayang Wu Kaixia Hu Hong Lin 33 21 0 08 Dec 2023
Seg2Reg: Differentiable 2D Segmentation to 1D Regression Rendering for 360 Room Layout Reconstruction Cheng Sun Wei-En Tai Yu-Lin Shih Kuan-Wei Chen Yong-Jing Syu Kent Selwyn The Yu-Chiang Frank Wang Hwann-Tzong Chen 3DV 38 2 0 30 Nov 2023
Adaptive Parametric Prototype Learning for Cross-Domain Few-Shot Classification Marzi Heidari Abdullah Alchihabi Qing En Yuhong Guo VLM 34 0 0 04 Sep 2023
CoNe: Contrast Your Neighbours for Supervised Image Classification Mingkai Zheng Shan You Lang Huang Xiu Su Fei Wang Chao Qian Xiaogang Wang Chang Xu VLM 28 0 0 21 Aug 2023
Joint Optimization of Class-Specific Training- and Test-Time Data Augmentation in Segmentation Zeju Li Konstantinos Kamnitsas Qi Dou C. Qin Ben Glocker 21 6 0 30 May 2023
Unlearnable Examples Give a False Sense of Security: Piercing through Unexploitable Data with Learnable Examples Wanzhu Jiang Yunfeng Diao He Wang Jianxin Sun Ming Wang Richang Hong 50 18 0 16 May 2023
LatentAugment: Dynamically Optimized Latent Probabilities of Data Augmentation K. Kuriyama 31 1 0 04 May 2023
LA3: Efficient Label-Aware AutoAugment Mingjun Zhao Sha Lu Zixuan Wang Xiaoli Wang Di Niu 29 1 0 20 Apr 2023
On Efficient Training of Large-Scale Deep Learning Models: A Literature Review Li Shen Yan Sun Zhiyuan Yu Liang Ding Xinmei Tian Dacheng Tao VLM 32 41 0 07 Apr 2023
Unproportional mosaicing Vojtech Molek P. Hurtík Pavel Vlasánek D. Adamczyk 24 1 0 03 Mar 2023
Evolutionary Augmentation Policy Optimization for Self-supervised Learning Noah Barrett Zahra Sadeghi Stan Matwin 30 3 0 02 Mar 2023
Deep Neural Networks with Efficient Guaranteed Invariances M. Rath Alexandru Paul Condurache 18 4 0 02 Mar 2023
CUDA: Curriculum of Data Augmentation for Long-Tailed Recognition Sumyeong Ahn Jongwoo Ko Se-Young Yun 43 30 0 10 Feb 2023
Contrastive Learning with Consistent Representations Zihu Wang Yu Wang Hanbin Hu Peng Li CLL 32 5 0 03 Feb 2023
Class Overwhelms: Mutual Conditional Blended-Target Domain Adaptation P. Xu Boyu Wang Charles Ling 37 6 0 03 Feb 2023
SemPPL: Predicting pseudo-labels for better contrastive representations Matko Bovsnjak Pierre Harvey Richemond Nenad Tomašev Florian Strub Jacob Walker Felix Hill Lars Buesing Razvan Pascanu Charles Blundell Jovana Mitrović SSL VLM 49 9 0 12 Jan 2023
RangeAugment: Efficient Online Augmentation with Range Learning Sachin Mehta Saeid Naderiparizi Fartash Faghri Maxwell Horton Lailin Chen Ali Farhadi Oncel Tuzel Mohammad Rastegari 26 6 0 20 Dec 2022
A Critical Appraisal of Data Augmentation Methods for Imaging-Based Medical Diagnosis Applications Tara Pattilachan Ugur Demir Elif Keles Debesh Jha D. Klatte M. Engels S. Hoogenboom C. Bolan Michael B. Wallace Ulas Bagci MedIm 18 2 0 14 Dec 2022
ConfounderGAN: Protecting Image Data Privacy with Causal Confounder Qi Tian Kun Kuang Ke Jiang Furui Liu Zhihua Wang Fei Wu 27 7 0 04 Dec 2022
Rethinking Out-of-Distribution Detection From a Human-Centric Perspective Yao Zhu YueFeng Chen Xiaodan Li Rong Zhang Hui Xue Xiang Tian Rongxin Jiang Bo Zheng Yao-wu Chen OODD 32 7 0 30 Nov 2022
Expanding Small-Scale Datasets with Guided Imagination Yifan Zhang Daquan Zhou Bryan Hooi Kaixin Wang Jiashi Feng 49 46 0 25 Nov 2022
Improving Crowded Object Detection via Copy-Paste Jiangfan Deng Dewen Fan Xiaosong Qiu Feng Zhou 22 12 0 22 Nov 2022
Local Magnification for Data and Feature Augmentation Kun He Chang-rui Liu Stephen Lin J. Hopcroft 26 2 0 15 Nov 2022
Extending Temporal Data Augmentation for Video Action Recognition Artjoms Gorpincenko Michal Mackiewicz ViT 29 4 0 09 Nov 2022
Soft Augmentation for Image Classification Yang Liu Shen Yan Laura Leal-Taixé James Hays Deva Ramanan 36 11 0 09 Nov 2022
ScoreMix: A Scalable Augmentation Strategy for Training GANs with Limited Data Jie Cao Mandi Luo Junchi Yu Mingmin Yang Ran He 37 4 0 27 Oct 2022
LidarAugment: Searching for Scalable 3D LiDAR Data Augmentations Zhaoqi Leng Guowang Li Chenxi Liu E. D. Cubuk Pei Sun Tong He Drago Anguelov Mingxing Tan 3DPC 41 9 0 24 Oct 2022
G-Augment: Searching for the Meta-Structure of Data Augmentation Policies for ASR Gary Wang Ekin D.Cubuk Andrew Rosenberg Shuyang Cheng Ron J. Weiss Bhuvana Ramabhadran Pedro J. Moreno Quoc V. Le Daniel S. Park 30 1 0 19 Oct 2022
Learning Self-Regularized Adversarial Views for Self-Supervised Vision Transformers Tao Tang Changlin Li Guangrun Wang Kaicheng Yu Xiaojun Chang Xiaodan Liang ViT 33 1 0 16 Oct 2022
Empirical Evaluation of Data Augmentations for Biobehavioral Time Series Data with Deep Learning Huiyuan Yang Han Yu Akane Sano AI4TS 27 5 0 13 Oct 2022
Unsupervised Domain Adaptive Fundus Image Segmentation with Few Labeled Source Data Qian Yu Dongnan Liu Chaoyi Zhang Xinwen Zhang Weidong (Tom) Cai OOD 33 4 0 10 Oct 2022
Towards Understanding and Boosting Adversarial Transferability from a Distribution Perspective Yao Zhu YueFeng Chen Xiaodan Li Kejiang Chen Yuan He Xiang Tian Bo Zheng Yao-wu Chen Qingming Huang AAML 33 58 0 09 Oct 2022
Automatic Data Augmentation via Invariance-Constrained Learning Ignacio Hounie Luiz F. O. Chamon Alejandro Ribeiro 28 10 0 29 Sep 2022
Semi-Supervised and Unsupervised Deep Visual Learning: A Survey Yanbei Chen Massimiliano Mancini Xiatian Zhu Zeynep Akata 47 114 0 24 Aug 2022
AADG: Automatic Augmentation for Domain Generalization on Retinal Image Segmentation Junyan Lyu Yiqi Zhang Yijin Huang Li Lin Pujin Cheng Xiaoying Tang MedIm 16 46 0 27 Jul 2022
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 30 2 0 21 Jul 2022
A Survey of Automated Data Augmentation Algorithms for Deep Learning-based Image Classification Tasks Z. Yang Richard Sinnott James Bailey Qiuhong Ke 31 39 0 14 Jun 2022
Masked Autoencoders are Robust Data Augmentors Haohang Xu Shuangrui Ding Xiaopeng Zhang H. Xiong 35 27 0 10 Jun 2022
ReSmooth: Detecting and Utilizing OOD Samples when Training with Data Augmentation Chenyang Wang Junjun Jiang Xiong Zhou Xianming Liu 42 3 0 25 May 2022
A Comprehensive Survey of Image Augmentation Techniques for Deep Learning Mingle Xu Sook Yoon A. Fuentes D. Park VLM 42 399 0 03 May 2022
EPiDA: An Easy Plug-in Data Augmentation Framework for High Performance Text Classification Minyi Zhao Lu Zhang Yi Xu Jiandong Ding Jihong Guan Shuigeng Zhou VLM 49 10 0 24 Apr 2022