Data Augmentation Generative Adversarial Networks

12 November 2017

Amos Storkey

Papers citing "Data Augmentation Generative Adversarial Networks"

50 / 428 papers shown

Title
Synthetic Observational Health Data with GANs: from slow adoption to a boom in medical research and ultimately digital twins? Jeremy Georges-Filteau Elisa Cirillo SyDa AI4CE 36 17 0 27 May 2020
ACGAN-based Data Augmentation Integrated with Long-term Scalogram for Acoustic Scene Classification Hangting Chen Zuozhen Liu Zongming Liu Pengyuan Zhang 9 8 0 27 May 2020
Visualizing Deep Learning-based Radio Modulation Classifier Liang Huang You Zhang Weijian Pan Jinyin Chen L. Qian Yuan Wu 14 32 0 03 May 2020
Style-transfer GANs for bridging the domain gap in synthetic pose estimator training Pavel Rojtberg Thomas Pollabauer Arjan Kuijper GAN 15 17 0 28 Apr 2020
Red-GAN: Attacking class imbalance via conditioned generation. Yet another perspective on medical image synthesis for skin lesion dermoscopy and brain tumor MRI A. Qasim Ivan Ezhov Suprosanna Shit Oliver Schoppe Johannes C. Paetzold Anjany Sekuboyina Florian Kofler Jana Lipkova Hongwei Bran Li Bjoern H. Menze GAN MedIm 31 54 0 22 Apr 2020
Defining Benchmarks for Continual Few-Shot Learning Antreas Antoniou Massimiliano Patacchiola Mateusz Ochal Amos Storkey 6 38 0 15 Apr 2020
Meta-Learning in Neural Networks: A Survey Timothy M. Hospedales Antreas Antoniou P. Micaelli Amos Storkey OOD 52 1,928 0 11 Apr 2020
MA 3 : Model Agnostic Adversarial Augmentation for Few Shot learning Rohit Jena Shirsendu Sukanta Halder Katia P. Sycara VLM 20 1 0 10 Apr 2020
SESAME: Semantic Editing of Scenes by Adding, Manipulating or Erasing Objects Evangelos Ntavelis Andrés Romero I. Kastanis Luc Van Gool Radu Timofte VLM 26 75 0 10 Apr 2020
Attentive Normalization for Conditional Image Generation Yi Wang Ying-Cong Chen Xinming Zhang Jian Sun Jiaya Jia GAN 32 34 0 08 Apr 2020
Imbalanced Data Learning by Minority Class Augmentation using Capsule Adversarial Networks Pourya Shamsolmoali Masoumeh Zareapoor Linlin Shen A. Sadka Jie Yang GAN MedIm 16 65 0 05 Apr 2020
Pathological Retinal Region Segmentation From OCT Images Using Geometric Relation Based Augmentation Dwarikanath Mahapatra Behzad Bozorgtabar Jean-Philippe Thiran Ling Shao 12 29 0 31 Mar 2020
Distance in Latent Space as Novelty Measure M. P. Philipsen T. Moeslund 20 0 0 31 Mar 2020
Fast Cross-domain Data Augmentation through Neural Sentence Editing Guillaume Raille Sandra Djambazovska C. Musat 14 11 0 23 Mar 2020
An Artificial Intelligence-Based System to Assess Nutrient Intake for Hospitalised Patients Ya Lu Thomai Stathopoulou Maria F. Vasiloglou Stergios Christodoulidis Z. Stanga S. Mougiakakou 3DH 14 46 0 18 Mar 2020
OpenGAN: Open Set Generative Adversarial Networks Luke Ditria Benjamin J. Meyer Tom Drummond VLM AI4CE GAN 41 20 0 18 Mar 2020
TAFSSL: Task-Adaptive Feature Sub-Space Learning for few-shot classification M. Lichtenstein P. Sattigeri Rogerio Feris Raja Giryes Leonid Karlinsky 10 76 0 14 Mar 2020
MatchingGAN: Matching-based Few-shot Image Generation Y. Hong Li Niu Jianfu Zhang Liqing Zhang VLM GAN 53 68 0 07 Mar 2020
Towards Fair Cross-Domain Adaptation via Generative Learning Tongxin Wang Zhengming Ding Wei Shao Haixu Tang Kun Huang TTA 34 9 0 04 Mar 2020
Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence S. Raschka Joshua Patterson Corey J. Nolet AI4CE 24 483 0 12 Feb 2020
Task Augmentation by Rotating for Meta-Learning Jialin Liu Rongrong Ji Chih-Min Lin 64 33 0 08 Feb 2020
Imperfect ImaGANation: Implications of GANs Exacerbating Biases on Facial Data Augmentation and Snapchat Selfie Lenses Niharika Jain Alberto Olmo Hernandez Sailik Sengupta L. Manikonda S. Kambhampati 47 38 0 26 Jan 2020
Variational Hierarchical Dialog Autoencoder for Dialog State Tracking Data Augmentation Kang Min Yoo Hanbit Lee Franck Dernoncourt Trung Bui W. Chang Sang-goo Lee BDL 17 25 0 23 Jan 2020
Random Matrix Theory Proves that Deep Learning Representations of GAN-data Behave as Gaussian Mixtures M. Seddik Cosme Louart M. Tamaazousti Romain Couillet 9 66 0 21 Jan 2020
Big-Data Science in Porous Materials: Materials Genomics and Machine Learning K. Jablonka D. Ongari S. M. Moosavi B. Smit AI4CE 31 350 0 18 Jan 2020
Fine-grained Image-to-Image Transformation towards Visual Recognition Wei Xiong Yutong He Yixuan Zhang Wenhan Luo Lin Ma Jiebo Luo CVBM 30 26 0 12 Jan 2020
Effective Data Augmentation with Multi-Domain Learning GANs Shinýa Yamaguchi Sekitoshi Kanai Takeharu Eda 24 27 0 25 Dec 2019
Adversarial AutoAugment Xinyu Zhang Qiang-qiang Wang Jian Zhang Zhaobai Zhong AAML 28 196 0 24 Dec 2019
Triple Generative Adversarial Networks Chongxuan Li Kun Xu Jiashuo Liu Jun Zhu Bo Zhang GAN 31 41 0 20 Dec 2019
Joint Learning of Generative Translator and Classifier for Visually Similar Classes ByungIn Yoo Tristan Sylvain Yoshua Bengio Junmo Kim 24 3 0 15 Dec 2019
Selective Synthetic Augmentation with Quality Assurance Yuan Xue Jiarong Ye L. R. Long Sameer Kiran Antani Z. Xue Xiaolei Huang MedIm 23 4 0 09 Dec 2019
Data Augmentation for Deep Learning-based Radio Modulation Classification Liang Huang Weijian Pan You Zhang L. Qian Nan Gao Yuan Wu 28 133 0 06 Dec 2019
Revisiting Few-Shot Learning for Facial Expression Recognition Anca-Nicoleta Ciubotaru A. Devos Behzad Bozorgtabar Jean-Philippe Thiran M. Gabrani CVBM 17 11 0 05 Dec 2019
MetAdapt: Meta-Learned Task-Adaptive Architecture for Few-Shot Classification Sivan Doveh Eli Schwartz Chao Xue Rogerio Feris A. Bronstein Raja Giryes Leonid Karlinsky 29 17 0 01 Dec 2019
Exploring Frequency Domain Interpretation of Convolutional Neural Networks Zhongfan Jia Chenglong Bao Kaisheng Ma FAtt 19 1 0 27 Nov 2019
Decoupling Features and Coordinates for Few-shot RGB Relocalization Siyan Dong Songyin Wu Yixin Zhuang Kai Xu Shanghang Zhang Baoquan Chen 22 0 0 26 Nov 2019
Counterfactual Vision-and-Language Navigation via Adversarial Path Sampling Tsu-jui Fu Qing Guo Matthew F. Peterson Scott T. Grafton M. Eckstein William Yang Wang 57 41 0 17 Nov 2019
Faster AutoAugment: Learning Augmentation Strategies using Backpropagation Ryuichiro Hataya Jan Zdenek Kazuki Yoshizoe Hideki Nakayama 20 203 0 16 Nov 2019
Learning from Data-Rich Problems: A Case Study on Genetic Variant Calling Ren Yi Pi-Chuan Chang Gunjan Baid Andrew Carroll 12 2 0 12 Nov 2019
Machine Learning Techniques for Biomedical Image Segmentation: An Overview of Technical Aspects and Introduction to State-of-Art Applications Hyunseok Seo M. B. Khuzani V. Vasudevan Charles Huang Hongyi Ren Ruoxiu Xiao Xiao Jia Lei Xing VLM 8 218 0 06 Nov 2019
Study of Constrained Network Structures for WGANs on Numeric Data Generation Wei Wang Chuang Wang Tao Cui Yuemei Li 21 3 0 05 Nov 2019
Neural Similarity Learning Weiyang Liu Zhen Liu James M. Rehg Le Song 27 29 0 28 Oct 2019
Generative Well-intentioned Networks J. Cosentino Jun Zhu AI4CE 17 2 0 28 Oct 2019
Mixup-breakdown: a consistency training method for improving generalization of speech separation models Max W. Y. Lam Jun Wang Dan Su Dong Yu 33 22 0 28 Oct 2019
Data Augmentation for Skin Lesion using Self-Attention based Progressive Generative Adversarial Network Ibrahim Saad Ali Mamdouh Farouk Mohamed Y. B. Mahdy GAN MedIm 20 119 0 25 Oct 2019
Automatic Data Augmentation by Learning the Deterministic Policy Yinghuan Shi Tiexin Qin Yong Liu Jiwen Lu Yang Gao D. Shen 23 4 0 18 Oct 2019
A Generative Approach Towards Improved Robotic Detection of Marine Litter Jungseok Hong Michael Fulton Junaed Sattar 25 21 0 10 Oct 2019
A Closer Look At Feature Space Data Augmentation For Few-Shot Intent Classification Varun Kumar Hadrien Glaude Cyprien de Lichy William Campbell 23 83 0 09 Oct 2019
RandAugment: Practical automated data augmentation with a reduced search space E. D. Cubuk Barret Zoph Jonathon Shlens Quoc V. Le MQ 87 3,411 0 30 Sep 2019
Meta-learning algorithms for Few-Shot Computer Vision Etienne Bennequin VLM 25 6 0 30 Sep 2019