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Data Augmentation Generative Adversarial Networks

12 November 2017

Amos Storkey

Papers citing "Data Augmentation Generative Adversarial Networks"

50 / 429 papers shown

Title
A Survey on Data Augmentation in Large Model Era Yue Zhou Chenlu Guo Xu Wang Yi-Ju Chang Yuan Wu LM&MA VLM 128 27 0 27 Jan 2024
Generic Knowledge Boosted Pre-training For Remote Sensing Images Ziyue Huang Mingming Zhang Yuan Gong Qingjie Liu Yunhong Wang VLM 78 15 0 09 Jan 2024
Controllable Image Synthesis of Industrial Data Using Stable Diffusion Gabriele Valvano Antonino Agostino Giovanni De Magistris Antonino Graziano Giacomo Veneri 63 8 0 06 Jan 2024
Gaussian Harmony: Attaining Fairness in Diffusion-based Face Generation Models Basudha Pal Arunkumar Kannan Ram Prabhakar Kathirvel Alice J. O'Toole Rama Chellappa DiffM 77 3 0 21 Dec 2023
MGAug: Multimodal Geometric Augmentation in Latent Spaces of Image Deformations Tonmoy Hossain Miaomiao Zhang 140 3 0 20 Dec 2023
Adversarial AutoMixup Huafeng Qin Xin Jin Yun Jiang M. El-Yacoubi Xinbo Gao AAML 124 12 0 19 Dec 2023
Combining propensity score methods with variational autoencoders for generating synthetic data in presence of latent sub-groups Kiana Farhadyar F. Bonofiglio Maren Hackenberg D. Zoeller Harald Binder CML 18 1 0 12 Dec 2023
RAFIC: Retrieval-Augmented Few-shot Image Classification Hangfei Lin Li Miao Amir Ziai 29 0 0 11 Dec 2023
TALDS-Net: Task-Aware Adaptive Local Descriptors Selection for Few-shot Image Classification Qian Qiao Yu Xie Ziyin Zeng Fanzhang Li 99 3 0 09 Dec 2023
Anchor Data Augmentation Nora Schneider Shirin Goshtasbpour Fernando Pérez-Cruz 100 6 0 12 Nov 2023
Adversarial Fine-tuning using Generated Respiratory Sound to Address Class Imbalance June-Woo Kim Chihyeon Yoon Miika Toikkanen Sangmin Bae Ho-Young Jung DiffM MedIm 49 9 0 11 Nov 2023
Learning-Based Biharmonic Augmentation for Point Cloud Classification Jiacheng Wei Guosheng Lin Henghui Ding Jie Hu Kim-Hui Yap 3DPC 81 1 0 10 Nov 2023
Semantic Map Guided Synthesis of Wireless Capsule Endoscopy Images using Diffusion Models Haejin Lee Jeongwoo Ju Jonghyuck Lee Yeoun Joo Lee Heechul Jung DiffM MedIm 65 0 0 10 Nov 2023
A Chronological Survey of Theoretical Advancements in Generative Adversarial Networks for Computer Vision Hrishikesh Sharma AI4CE EGVM 45 1 0 02 Nov 2023
Semantic Generative Augmentations for Few-Shot Counting Perla Doubinsky Nicolas Audebert M. Crucianu Hervé Le Borgne VLM DiffM 88 4 0 26 Oct 2023
Reimagining Synthetic Tabular Data Generation through Data-Centric AI: A Comprehensive Benchmark Lasse Hansen Nabeel Seedat M. Schaar Andrija Petrović 132 21 0 25 Oct 2023
Can You Rely on Your Model Evaluation? Improving Model Evaluation with Synthetic Test Data B. V. Breugel Nabeel Seedat F. Imrie M. Schaar SyDa 56 25 0 25 Oct 2023
Using GPT-4 to Augment Unbalanced Data for Automatic Scoring Luyang Fang Gyeong-Geon Lee Xiaoming Zhai 70 19 0 25 Oct 2023
FreeMask: Synthetic Images with Dense Annotations Make Stronger Segmentation Models Lihe Yang Xiaogang Xu Bingyi Kang Yinghuan Shi Hengshuang Zhao 90 46 0 23 Oct 2023
Not Just Learning from Others but Relying on Yourself: A New Perspective on Few-Shot Segmentation in Remote Sensing Hanbo Bi Yingchao Feng Zhiyuan Yan Yongqiang Mao Wenhui Diao Hongqi Wang Xian Sun 51 19 0 19 Oct 2023
AI-Generated Images as Data Source: The Dawn of Synthetic Era Zuhao Yang Fangneng Zhan Kunhao Liu Muyu Xu Shijian Lu EGVM 103 20 0 03 Oct 2023
On the Stability of Iterative Retraining of Generative Models on their own Data Quentin Bertrand A. Bose Alexandre Duplessis Marco Jiralerspong Gauthier Gidel 160 51 0 30 Sep 2023
Enhancing Visual Perception in Novel Environments via Incremental Data Augmentation Based on Style Transfer Abhibha Gupta Rully Agus Hendrawan Mansur Maturidi Arief 120 0 0 16 Sep 2023
Equivariant Data Augmentation for Generalization in Offline Reinforcement Learning Cristina Pinneri Sarah Bechtle Markus Wulfmeier Arunkumar Byravan Jingwei Zhang William F. Whitney Martin Riedmiller OffRL 53 2 0 14 Sep 2023
Dual Adversarial Alignment for Realistic Support-Query Shift Few-shot Learning Siyang Jiang Rui Fang Hsi-Wen Chen Wei Ding Ming-Syan Chen 87 1 0 05 Sep 2023
Generate Your Own Scotland: Satellite Image Generation Conditioned on Maps Miguel Espinosa Elliot J. Crowley 76 20 0 31 Aug 2023
Improving Few-shot Image Generation by Structural Discrimination and Textural Modulation Mengping Yang Zhe Wang Wenyi Feng Qian Zhang Tingzhe Xiao DiffM 83 4 0 30 Aug 2023
Few-Shot Physically-Aware Articulated Mesh Generation via Hierarchical Deformation Xueyi Liu Bin Wang He Wang Li Yi 73 9 0 21 Aug 2023
Diffusion Model as Representation Learner Xingyi Yang Xinchao Wang DiffM 86 60 0 21 Aug 2023
Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning Chun-Mei Feng Kai Yu Yong Liu Salman Khan W. Zuo VLM 120 86 0 11 Aug 2023
SegMatch: A semi-supervised learning method for surgical instrument segmentation Meng Wei Charlie Budd Luis C. Garcia-Peraza-Herrera Reuben Dorent Miaojing Shi Tom Vercauteren 70 5 0 09 Aug 2023
SYNAuG: Exploiting Synthetic Data for Data Imbalance Problems Moon Ye-Bin Nam Hyeon-Woo Wonseok Choi Nayeong Kim Suha Kwak Tae-Hyun Oh DiffM 51 6 0 02 Aug 2023
Image Synthesis under Limited Data: A Survey and Taxonomy Mengping Yang Zhe Wang 91 10 0 31 Jul 2023
EqGAN: Feature Equalization Fusion for Few-shot Image Generation Yingbo Zhou Zhihao Yue Yutong Ye Pengyu Zhang Xian Wei Mingsong Chen 91 1 0 27 Jul 2023
A Survey on Generative Modeling with Limited Data, Few Shots, and Zero Shot Milad Abdollahzadeh Touba Malekzadeh Christopher T. H. Teo Keshigeyan Chandrasegaran Guimeng Liu Ngai-Man Cheung VLM MedIm 127 24 0 26 Jul 2023
Regularizing Neural Networks with Meta-Learning Generative Models Shin'ya Yamaguchi Daiki Chijiwa Sekitoshi Kanai Atsutoshi Kumagai H. Kashima 77 5 0 26 Jul 2023
Improving Out-of-Distribution Robustness of Classifiers via Generative Interpolation Haoyue Bai Ceyuan Yang Yinghao Xu Shueng-Han Gary Chan Bolei Zhou OODD 35 3 0 23 Jul 2023
LatentAugment: Data Augmentation via Guided Manipulation of GAN's Latent Space L. Tronchin Minh H. Vu Paolo Soda Tommy Löfstedt 68 2 0 21 Jul 2023
Image Captions are Natural Prompts for Text-to-Image Models Shiye Lei Hao Chen Senyang Zhang Bo Zhao Dacheng Tao VLM 109 23 0 17 Jul 2023
RADiff: Controllable Diffusion Models for Radio Astronomical Maps Generation Renato Sortino T. Cecconello A. DeMarco G. Fiameni Andrea Pilzer ... E. Sciacca A. Ingallinera C. Bordiu F. Bufano C. Spampinato DiffM 57 2 0 05 Jul 2023
Unsupervised Text Embedding Space Generation Using Generative Adversarial Networks for Text Synthesis Jun-Min Lee Tae-Bin Ha GAN 51 0 0 19 Jun 2023
Data Augmentation for Seizure Prediction with Generative Diffusion Model Kai Shu Yuchang Zhao Le Wu Aiping Liu Ruobing Qian Xun Chen DiffM 73 13 0 14 Jun 2023
T-ADAF: Adaptive Data Augmentation Framework for Image Classification Network based on Tensor T-product Operator F. Han Yun Miao Zhao Sun Yimin Wei 65 7 0 07 Jun 2023
Evaluating Machine Learning Models with NERO: Non-Equivariance Revealed on Orbits Zhuokai Zhao Takumi Matsuzawa W. Irvine Michael Maire G. Kindlmann 90 2 0 31 May 2023
On Counterfactual Data Augmentation Under Confounding Abbavaram Gowtham Reddy Saketh Bachu Saloni Dash Charchit Sharma Amit Sharma V. Balasubramanian CML BDL 93 1 0 29 May 2023
Training on Thin Air: Improve Image Classification with Generated Data Yongchao Zhou Hshmat Sahak Jimmy Ba DiffM 85 47 0 24 May 2023
HARD: Hard Augmentations for Robust Distillation Arne F. Nix Max F. Burg Fabian H. Sinz AAML 74 1 0 24 May 2023
Rethinking Data Augmentation for Tabular Data in Deep Learning Soma Onishi Shoya Meguro LMTD 77 17 0 17 May 2023
Synthetic data, real errors: how (not) to publish and use synthetic data B. V. Breugel Zhaozhi Qian M. Schaar SyDa 110 30 0 16 May 2023
WeditGAN: Few-Shot Image Generation via Latent Space Relocation Yuxuan Duan Li Niu Y. Hong Liqing Zhang 99 14 0 11 May 2023