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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
Masked Autoencoders are Robust Data Augmentors Haohang Xu Shuangrui Ding Xiaopeng Zhang H. Xiong 139 28 0 10 Jun 2022
FHIST: A Benchmark for Few-shot Classification of Histological Images Fereshteh Shakeri Malik Boudiaf S. Mohammadi Ivaxi Sheth Mohammad Havaei Ismail Ben Ayed Samira Ebrahimi Kahou OOD VLM 89 23 0 31 May 2022
EventMix: An Efficient Augmentation Strategy for Event-Based Data Guobin Shen Dongcheng Zhao Yijing Zeng AI4TS 99 12 0 24 May 2022
FaceMAE: Privacy-Preserving Face Recognition via Masked Autoencoders Kaidi Wang Bo Zhao Xiangyu Peng Zheng Hua Zhu Jiankang Deng Xinchao Wang Hakan Bilen Yang You PICV 121 11 0 23 May 2022
Diversity vs. Recognizability: Human-like generalization in one-shot generative models Victor Boutin Lakshya Singhal Xavier Thomas Thomas Serre 75 8 0 20 May 2022
How to Fine-tune Models with Few Samples: Update, Data Augmentation, and Test-time Augmentation Yujin Kim Jaehoon Oh Sungnyun Kim Se-Young Yun 78 6 0 13 May 2022
D3T-GAN: Data-Dependent Domain Transfer GANs for Few-shot Image Generation Xintian Wu Huanyu Wang Yiming Wu Xi Li 65 3 0 12 May 2022
PGADA: Perturbation-Guided Adversarial Alignment for Few-shot Learning Under the Support-Query Shift Siyang Jiang Wei Ding Hsi-Wen Chen Minghai Chen OOD 84 6 0 08 May 2022
A Closer Look at Few-shot Image Generation Yunqing Zhao Henghui Ding Houjing Huang Ngai-Man Cheung 108 79 0 08 May 2022
Generating Representative Samples for Few-Shot Classification Jingyi Xu Hieu M. Le VLM 109 65 0 05 May 2022
A Comprehensive Survey of Image Augmentation Techniques for Deep Learning Mingle Xu Sook Yoon A. Fuentes D. Park VLM 128 432 0 03 May 2022
Learning Compositional Representations for Effective Low-Shot Generalization Samarth Mishra Pengkai Zhu Venkatesh Saligrama OCL 56 3 0 17 Apr 2022
Synthesizing Informative Training Samples with GAN Bo Zhao Hakan Bilen DD 128 77 0 15 Apr 2022
A Simple Approach to Adversarial Robustness in Few-shot Image Classification Akshayvarun Subramanya Hamed Pirsiavash VLM 66 6 0 11 Apr 2022
Vision-Based American Sign Language Classification Approach via Deep Learning Nelly Elsayed Zag ElSayed Anthony Maida VLM 40 3 0 08 Apr 2022
Simple and Effective Synthesis of Indoor 3D Scenes Jing Yu Koh Harsh Agrawal Dhruv Batra Richard Tucker Austin Waters Honglak Lee Yinfei Yang Jason Baldridge Peter Anderson VGen 3DV 138 30 0 06 Apr 2022
Overcoming challenges in leveraging GANs for few-shot data augmentation Christopher Beckham I. Laradji Pau Rodríguez López David Vazquez Derek Nowrouzezahrai C. Pal 25 1 0 30 Mar 2022
Self-supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake Detection Liang Chen Yong Zhang Yibing Song Lingqiao Liu Jue Wang AAML 137 211 0 23 Mar 2022
Adaptive Transformers for Robust Few-shot Cross-domain Face Anti-spoofing Hsin-Ping Huang Deqing Sun Yaojie Liu Wen-Sheng Chu Taihong Xiao Jinwei Yuan Hartwig Adam Ming-Hsuan Yang CVBM 113 62 0 23 Mar 2022
Do Deep Networks Transfer Invariances Across Classes? Allan Zhou Fahim Tajwar Alexander Robey Tom Knowles George J. Pappas Hamed Hassani Chelsea Finn OOD 73 18 0 18 Mar 2022
Attribute Group Editing for Reliable Few-shot Image Generation Guanqi Ding Xinzhe Han Shuhui Wang Shuzhe Wu Xin Jin Dandan Tu Qingming Huang GAN 81 22 0 16 Mar 2022
Adversarial Counterfactual Augmentation: Application in Alzheimer's Disease Classification Tian Xia Pedro Sanchez C. Qin Sotirios A. Tsaftaris OOD MedIm 95 13 0 15 Mar 2022
Machine Learning in NextG Networks via Generative Adversarial Networks E. Ayanoglu Kemal Davaslioglu Y. Sagduyu GAN 67 34 0 09 Mar 2022
Signature and Log-signature for the Study of Empirical Distributions Generated with GANs J. Curtò I. D. Zarzà Hong-Mei Yan Carlos T. Calafate 143 1 0 07 Mar 2022
State-of-the-Art in the Architecture, Methods and Applications of StyleGAN Amit H. Bermano Rinon Gal Yuval Alaluf Ron Mokady Yotam Nitzan Omer Tov Or Patashnik Daniel Cohen-Or 83 85 0 28 Feb 2022
HiMA: A Fast and Scalable History-based Memory Access Engine for Differentiable Neural Computer Yaoyu Tao Zhengya Zhang 37 5 0 15 Feb 2022
Synthetic Data Can Also Teach: Synthesizing Effective Data for Unsupervised Visual Representation Learning Yawen Wu Zhepeng Wang Dewen Zeng Yiyu Shi Jingtong Hu SSL 98 16 0 14 Feb 2022
Hiding Behind Backdoors: Self-Obfuscation Against Generative Models Siddhartha Datta N. Shadbolt SILM AAML AI4CE 61 2 0 24 Jan 2022
On the Statistical Complexity of Sample Amplification Brian Axelrod Shivam Garg Yanjun Han Vatsal Sharan Gregory Valiant 116 4 0 12 Jan 2022
GenLabel: Mixup Relabeling using Generative Models Jy-yong Sohn Liang Shang Hongxu Chen Jaekyun Moon Dimitris Papailiopoulos Kangwook Lee VLM 93 15 0 07 Jan 2022
Few-Shot Classification in Unseen Domains by Episodic Meta-Learning Across Visual Domains Yuan Cheng Ci-Siang Lin Fu-En Yang Yu-Chiang Frank Wang 64 2 0 27 Dec 2021
Dual Path Structural Contrastive Embeddings for Learning Novel Objects Bingbin Li E. Cui Yanan Li Donghui Wang Weng Kee Wong 38 1 0 23 Dec 2021
SAC-GAN: Structure-Aware Image Composition Hang Zhou Rui Ma Ling-Xiao Zhang Lina Gao Ali Mahdavi-Amiri Haotong Zhang GAN 92 7 0 13 Dec 2021
On Automatic Data Augmentation for 3D Point Cloud Classification Wanyue Zhang Xun Xu Fayao Liu Le Zhang Chuan-Sheng Foo 3DPC 81 5 0 11 Dec 2021
Augment & Valuate : A Data Enhancement Pipeline for Data-Centric AI Youngjune Lee Oh Joon Kwon Haejun Lee Joonyoung Kim Kangwook Lee Kee-Eung Kim 39 9 0 07 Dec 2021
Neural Photometry-guided Visual Attribute Transfer Carlos Rodriguez-Pardo Elena Garces 85 10 0 05 Dec 2021
Learning Augmentation Distributions using Transformed Risk Minimization Evangelos Chatzipantazis Stefanos Pertigkiozoglou Kostas Daniilidis Yan Sun 81 15 0 16 Nov 2021
Selective Synthetic Augmentation with HistoGAN for Improved Histopathology Image Classification Yuan Xue Jiarong Ye Qianying Zhou L. R. Long Sameer Kiran Antani Z. Xue Carl Cornwell R. Zaino K. Cheng Xiaolei Huang MedIm 213 106 0 10 Nov 2021
Smart(Sampling)Augment: Optimal and Efficient Data Augmentation for Semantic Segmentation Misgana Negassi Diane Wagner A. Reiterer 26 14 0 31 Oct 2021
Revisit Multimodal Meta-Learning through the Lens of Multi-Task Learning Milad Abdollahzadeh Touba Malekzadeh Ngai-Man Cheung 67 29 0 27 Oct 2021
Generative Residual Attention Network for Disease Detection Euyoung Kim Soochahn Lee Kyoung Mu Lee GAN LM&MA MedIm 51 1 0 25 Oct 2021
GCCN: Global Context Convolutional Network Ali Hamdi Flora D. Salim D. Kim 73 1 0 22 Oct 2021
ProtoShotXAI: Using Prototypical Few-Shot Architecture for Explainable AI Samuel Hess G. Ditzler AAML 79 1 0 22 Oct 2021
Synt++: Utilizing Imperfect Synthetic Data to Improve Speech Recognition Ting-Yao Hu Mohammadreza Armandpour A. Shrivastava Jen-Hao Rick Chang H. Koppula Oncel Tuzel SyDa 87 42 0 21 Oct 2021
Categorizing Items with Short and Noisy Descriptions using Ensembled Transferred Embeddings Y. Hadar E. Shmueli 28 3 0 21 Oct 2021
Learning Prototype-oriented Set Representations for Meta-Learning D. Guo Longlong Tian Minghe Zhang Mingyuan Zhou H. Zha OOD 65 23 0 18 Oct 2021
Distinguishing rule- and exemplar-based generalization in learning systems Ishita Dasgupta Erin Grant Thomas Griffiths 88 16 0 08 Oct 2021
Learning of Inter-Label Geometric Relationships Using Self-Supervised Learning: Application To Gleason Grade Segmentation Dwarikanath Mahapatra SSL 68 6 0 01 Oct 2021
Multimodality in Meta-Learning: A Comprehensive Survey Yao Ma Shilin Zhao Weixiao Wang Yaoman Li Irwin King 102 54 0 28 Sep 2021
A Diversity-Enhanced and Constraints-Relaxed Augmentation for Low-Resource Classification Guang Liu Hailong Huang Yuzhao Mao Weiguo Gao Xuan Li Jianping Shen 74 1 0 24 Sep 2021