Data Augmentation by Pairing Samples for Images Classification

9 January 2018

Papers citing "Data Augmentation by Pairing Samples for Images Classification"

50 / 145 papers shown

Title
SEVA: Leveraging Single-Step Ensemble of Vicinal Augmentations for Test-Time Adaptation Zixuan Hu Yichun Hu Ling-yu Duan TTA 56 0 0 07 May 2025
SiameseDuo++: Active Learning from Data Streams with Dual Augmented Siamese Networks Kleanthis Malialis S. Filippou C. Panayiotou Marios M. Polycarpou AI4TS 29 0 0 06 Apr 2025
Relaxed Equivariance via Multitask Learning Ahmed A. A. Elhag T. Konstantin Rusch Francesco Di Giovanni Michael Bronstein 50 2 0 23 Oct 2024
A Survey on Data Synthesis and Augmentation for Large Language Models Ke Wang Jiahui Zhu Minjie Ren Ziqiang Liu Shiwei Li ... Chenkai Zhang Xiaoyu Wu Qiqi Zhan Qingjie Liu Yunhong Wang SyDa 40 18 0 16 Oct 2024
MYCROFT: Towards Effective and Efficient External Data Augmentation Zain Sarwar Van-Tai Tran A. Bhagoji Nick Feamster Ben Y. Zhao Supriyo Chakraborty 32 0 0 11 Oct 2024
Learning Gaussian Data Augmentation in Feature Space for One-shot Object Detection in Manga Takara Taniguchi Ryosuke Furuta 23 1 0 08 Oct 2024
Erase, then Redraw: A Novel Data Augmentation Approach for Free Space Detection Using Diffusion Model Fulong Ma Weiqing Qi Guoyang Zhao Ming Liu Jun Ma DiffM 32 0 0 30 Sep 2024
FreeAugment: Data Augmentation Search Across All Degrees of Freedom Tom Bekor Niv Nayman Lihi Zelnik-Manor ViT 44 0 0 07 Sep 2024
Label Augmentation for Neural Networks Robustness Fatemeh Amerehi Patrick Healy AAML 39 1 0 04 Aug 2024
Enhancing Encrypted Internet Traffic Classification Through Advanced Data Augmentation Techniques Yehonatan Zion Porat Aharon Ran Dubin A. Dvir Chen Hajaj 33 2 0 23 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 22 0 15 May 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
Accuracy-Preserving Calibration via Statistical Modeling on Probability Simplex Yasushi Esaki Akihiro Nakamura Keisuke Kawano Ryoko Tokuhisa Takuro Kutsuna 43 0 0 21 Feb 2024
Tailoring Mixup to Data for Calibration Quentin Bouniot Pavlo Mozharovskyi Florence dÁlché-Buc 61 1 0 02 Nov 2023
ScaleNet: An Unsupervised Representation Learning Method for Limited Information Huili Huang M. M. Roozbahani SSL 20 806 0 03 Oct 2023
A Multi-label Classification Approach to Increase Expressivity of EMG-based Gesture Recognition Niklas Smedemark-Margulies Yunus Bicer Elifnur Sunger Stephanie Naufel Tales Imbiriba E. Tunik Deniz Erdoğmuş M. Yarossi 19 1 0 13 Sep 2023
Learning from Limited Heterogeneous Training Data: Meta-Learning for Unsupervised Zero-Day Web Attack Detection across Web Domains Peiyang Li Ye Wang Qi Li Zhuotao Liu Ke Xu Ju Ren Zhiying Liu Ruilin Lin AAML 15 8 0 07 Sep 2023
Community-Based Hierarchical Positive-Unlabeled (PU) Model Fusion for Chronic Disease Prediction Yang Wu Xurui Li Xuhong Zhang Yangyang Kang Changlong Sun Xiaozhong Liu 26 3 0 06 Sep 2023
Fine-grained Recognition with Learnable Semantic Data Augmentation Yifan Pu Yizeng Han Yulin Wang Junlan Feng Chao Deng Gao Huang 29 27 0 01 Sep 2023
From SMOTE to Mixup for Deep Imbalanced Classification Wei Cheng Tan-Ha Mai Hsuan-Tien Lin 13 3 0 29 Aug 2023
MixBag: Bag-Level Data Augmentation for Learning from Label Proportions Takanori Asanomi Shinnosuke Matsuo D. Suehiro Ryoma Bise 22 8 0 17 Aug 2023
LatentAugment: Data Augmentation via Guided Manipulation of GAN's Latent Space L. Tronchin Minh H. Vu Paolo Soda Tommy Löfstedt 25 2 0 21 Jul 2023
The Effects of Mixed Sample Data Augmentation are Class Dependent Haeil Lee Han S. Lee Junmo Kim 37 1 0 18 Jul 2023
Approximate, Adapt, Anonymize (3A): a Framework for Privacy Preserving Training Data Release for Machine Learning Tamas Madl Weijie Xu Olivia Choudhury Matthew Howard 26 5 0 04 Jul 2023
Toward Understanding Generative Data Augmentation Chenyu Zheng Guoqiang Wu Chongxuan Li 29 25 0 27 May 2023
LatentAugment: Dynamically Optimized Latent Probabilities of Data Augmentation K. Kuriyama 24 1 0 04 May 2023
Optimizing the AI Development Process by Providing the Best Support Environment Taha Khamis Hamam Mokayed 4 0 0 29 Apr 2023
LA3: Efficient Label-Aware AutoAugment Mingjun Zhao Sha Lu Zixuan Wang Xiaoli Wang Di Niu 19 1 0 20 Apr 2023
Random Padding Data Augmentation Nan Yang Laicheng Zhong Fan Huang Dong Yuan Wei Bao 21 2 0 17 Feb 2023
Self-Supervised Image Representation Learning: Transcending Masking with Paired Image Overlay Yinhe Li Han Ding Shao-jun Wang SSL 17 0 0 23 Jan 2023
A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability Chengtai Cao Fan Zhou Yurou Dai Jianping Wang Kunpeng Zhang AAML 24 28 0 21 Dec 2022
VoronoiPatches: Evaluating A New Data Augmentation Method Steffen Illium Gretchen Griffin Michael Kolle Maximilian Zorn Jonas Nusslein Claudia Linnhoff-Popien 25 0 0 20 Dec 2022
MixBoost: Improving the Robustness of Deep Neural Networks by Boosting Data Augmentation Zhendong Liu Wenyu Jiang Min Guo Chongjun Wang AAML 21 1 0 08 Dec 2022
Deep Learning Training Procedure Augmentations Cristian Simionescu 11 1 0 25 Nov 2022
Extending Temporal Data Augmentation for Video Action Recognition Artjoms Gorpincenko Michal Mackiewicz ViT 26 4 0 09 Nov 2022
Cold Start Streaming Learning for Deep Networks Cameron R. Wolfe Anastasios Kyrillidis CLL 15 2 0 09 Nov 2022
Evaluating a Synthetic Image Dataset Generated with Stable Diffusion Andreas Stöckl 24 21 0 03 Nov 2022
10 hours data is all you need Zeping Min Qian Ge Zhong Li 13 2 0 24 Oct 2022
Improving the Anomaly Detection in GPR Images by Fine-Tuning CNNs with Synthetic Data Xiren Zhou Shikang Liu Ao Chen Yizhan Fan Huanhuan Chen 14 0 0 21 Oct 2022
Pre-trained Adversarial Perturbations Y. Ban Yinpeng Dong AAML 62 22 0 07 Oct 2022
Synthetic Dataset Generation for Privacy-Preserving Machine Learning Efstathia Soufleri Gobinda Saha Kaushik Roy DD 19 2 0 06 Oct 2022
A Unified Analysis of Mixed Sample Data Augmentation: A Loss Function Perspective Chanwoo Park Sangdoo Yun Sanghyuk Chun AAML 21 32 0 21 Aug 2022
Time to augment self-supervised visual representation learning A. Aubret M. Ernst Céline Teulière Jochen Triesch 39 10 0 27 Jul 2022
Revisiting data augmentation for subspace clustering Maryam Abdolali Nicolas Gillis 14 1 0 20 Jul 2022
DC-BENCH: Dataset Condensation Benchmark Justin Cui Ruochen Wang Si Si Cho-Jui Hsieh DD 34 72 0 20 Jul 2022
Generalization to translation shifts: a study in architectures and augmentations Suriya Gunasekar 11 1 0 05 Jul 2022
A Survey of Automated Data Augmentation Algorithms for Deep Learning-based Image Classification Tasks Z. Yang Richard Sinnott James Bailey Qiuhong Ke 26 39 0 14 Jun 2022
CropMix: Sampling a Rich Input Distribution via Multi-Scale Cropping Junlin Han L. Petersson Hongdong Li Ian Reid 31 9 0 31 May 2022
Swapping Semantic Contents for Mixing Images Rémy Sun Clément Masson Gilles Hénaff Nicolas Thome Matthieu Cord 10 2 0 20 May 2022
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities Yisheng Song Ting-Yuan Wang S. Mondal J. P. Sahoo SLR 50 344 0 13 May 2022