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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 Closer Look At Feature Space Data Augmentation For Few-Shot Intent Classification Varun Kumar Hadrien Glaude Cyprien de Lichy William Campbell 82 85 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 400 3,518 0 30 Sep 2019
Meta-learning algorithms for Few-Shot Computer Vision Etienne Bennequin VLM 76 6 0 30 Sep 2019
Automatically Learning Data Augmentation Policies for Dialogue Tasks Tong Niu Joey Tianyi Zhou 84 39 0 27 Sep 2019
Implicit Semantic Data Augmentation for Deep Networks Yulin Wang Xuran Pan Shiji Song Hong Zhang Cheng Wu Gao Huang 123 200 0 26 Sep 2019
Regularising Deep Networks with Deep Generative Models M. Willetts A. Camuto Stephen J. Roberts Chris Holmes UQCV 22 0 0 25 Sep 2019
Deep Generative Models for Library Augmentation in Multiple Endmember Spectral Mixture Analysis R. Borsoi Tales Imbiriba J. Bermudez C. Richard 63 22 0 20 Sep 2019
ProtoGAN: Towards Few Shot Learning for Action Recognition Sai Kumar Dwivedi Vikram Gupta Rahul Mitra Shuaib Ahmed Arjun Jain 97 96 0 17 Sep 2019
Multi-stage domain adversarial style reconstruction for cytopathological image stain normalization Xihao Chen Jingya Yu Li Chen Shaoqun Zeng Xiuli Liu Shenghua Cheng MedIm OOD 37 1 0 11 Sep 2019
A Survey of Techniques All Classifiers Can Learn from Deep Networks: Models, Optimizations, and Regularization Alireza Ghods D. Cook 33 1 0 10 Sep 2019
Aggregation via Separation: Boosting Facial Landmark Detector with Semi-Supervised Style Translation Shengju Qian K. Sun Wayne Wu Chen Qian Jiaya Jia 3DH CVBM 80 66 0 18 Aug 2019
AutoML: A Survey of the State-of-the-Art Xin He Kaiyong Zhao Xiaowen Chu 192 1,478 0 02 Aug 2019
Safe Augmentation: Learning Task-Specific Transformations from Data Irynei Baran Orest Kupyn A. Kravchenko 18 2 0 30 Jul 2019
A Group-Theoretic Framework for Data Augmentation Shuxiao Chen Edgar Dobriban Jane Lee FedML 80 38 0 25 Jul 2019
Data augmentation with Symbolic-to-Real Image Translation GANs for Traffic Sign Recognition Nour Soufi Matias Valdenegro-Toro ViT GAN 25 8 0 17 Jul 2019
Unsupervised Domain Alignment to Mitigate Low Level Dataset Biases K. Sivamani 23 1 0 08 Jul 2019
Void region segmentation in ball grid array using u-net approach and synthetic data Vijay Kumar Neeluru Vikas Ahuja 23 3 0 07 Jul 2019
Mask Embedding in conditional GAN for Guided Synthesis of High Resolution Images Yinhao Ren Zhe Zhu Yingzhou Li J. Lo CVBM 28 4 0 03 Jul 2019
Signed Laplacian Deep Learning with Adversarial Augmentation for Improved Mammography Diagnosis Heyi Li Dongdong Chen W. Nailon Mike E. Davies Dave Laurenson MedIm 150 15 0 30 Jun 2019
Learning Data Augmentation Strategies for Object Detection Barret Zoph E. D. Cubuk Golnaz Ghiasi Nayeon Lee Jonathon Shlens Quoc V. Le 108 534 0 26 Jun 2019
Further advantages of data augmentation on convolutional neural networks Alex Hernández-García Peter König 70 108 0 26 Jun 2019
Bias Correction of Learned Generative Models using Likelihood-Free Importance Weighting Aditya Grover Jiaming Song Alekh Agarwal Kenneth Tran Ashish Kapoor Eric Horvitz Stefano Ermon 92 125 0 23 Jun 2019
Disentangled Inference for GANs with Latently Invertible Autoencoder Jiapeng Zhu Deli Zhao Bo Zhang Bolei Zhou GAN DRL 92 35 0 19 Jun 2019
Hallucinated Adversarial Learning for Robust Visual Tracking Qiangqiang Wu Zhihui Chen Lin Cheng Yan Yan Bo Li Hanzi Wang AAML 24 3 0 17 Jun 2019
Synthesizing Diverse Lung Nodules Wherever Massively: 3D Multi-Conditional GAN-based CT Image Augmentation for Object Detection Changhee Han Yoshiro Kitamura Akira Kudo Akimichi Ichinose L. Rundo Yujiro Furukawa Kazuki Umemoto Yuanzhong Li Hideki Nakayama MedIm 82 117 0 12 Jun 2019
Weakly-supervised Compositional FeatureAggregation for Few-shot Recognition Ping Hu Ximeng Sun Kate Saenko Stan Sclaroff OCL CoGe 75 25 0 11 Jun 2019
Suppressing Model Overfitting for Image Super-Resolution Networks Ruicheng Feng Jinjin Gu Yu Qiao Chao Dong SupR 56 39 0 11 Jun 2019
Baby steps towards few-shot learning with multiple semantics Eli Schwartz Leonid Karlinsky Rogerio Feris Raja Giryes A. Bronstein VLM 110 106 0 05 Jun 2019
A Plug-in Method for Representation Factorization in Connectionist Models Jee Seok Yoon Wonjun Ko Heung-Il Suk 50 1 0 27 May 2019
Implicit Label Augmentation on Partially Annotated Clips via Temporally-Adaptive Features Learning Y. Lu Ziyao Tang T. Javidi 22 0 0 24 May 2019
Online Hyper-parameter Learning for Auto-Augmentation Strategy Chen Lin Minghao Guo Chuming Li Yuan Xin Wei Wu Dahua Lin Wanli Ouyang Junjie Yan ODL 71 84 0 17 May 2019
Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules Daniel Ho Eric Liang Ion Stoica Pieter Abbeel Xi Chen 98 405 0 14 May 2019
Assuring the Machine Learning Lifecycle: Desiderata, Methods, and Challenges Rob Ashmore R. Calinescu Colin Paterson AI4TS 73 119 0 10 May 2019
Unified Adversarial Invariance Ayush Jaiswal Yuehua Wu Wael AbdAlmageed Premkumar Natarajan CML 56 10 0 07 May 2019
Learning Optimal Data Augmentation Policies via Bayesian Optimization for Image Classification Tasks Chunxu Zhang Jiaxu Cui Bo Yang 61 3 0 06 May 2019
Sample Amplification: Increasing Dataset Size even when Learning is Impossible Brian Axelrod Shivam Garg Vatsal Sharan Gregory Valiant 55 14 0 26 Apr 2019
A Survey on Face Data Augmentation Xiang Wang Kai Wang Kai Wang CVBM 116 134 0 26 Apr 2019
Informative sample generation using class aware generative adversarial networks for classification of chest Xrays Behzad Bozorgtabar Dwarikanath Mahapatra Hendrik von Teng Alexander Pollinger L. Ebner Jean-Phillipe Thiran M. Reyes MedIm GAN 86 33 0 24 Apr 2019
Implicit Pairs for Boosting Unpaired Image-to-Image Translation Y. Ginger Dov Danon Hadar Averbuch-Elor Daniel Cohen-Or 75 2 0 15 Apr 2019
A Closer Look at Few-shot Classification Wei-Yu Chen Yen-Cheng Liu Z. Kira Y. Wang Jia-Bin Huang 116 1,770 0 08 Apr 2019
DeceptionNet: Network-Driven Domain Randomization Sergey Zakharov Wadim Kehl Slobodan Ilic OOD 90 93 0 04 Apr 2019
Snore-GANs: Improving Automatic Snore Sound Classification with Synthesized Data Zixing Zhang Jing Han Kun Qian C. Janott Yanan Guo Bjoern Schuller 64 43 0 29 Mar 2019
SPDA: Superpixel-based Data Augmentation for Biomedical Image Segmentation Yizhe Zhang Lin Yang Hao Zheng Peixian Liang Colleen A. Mangold R. Loreto David P. Hughes Danny Chen MedIm 40 13 0 28 Feb 2019
Learning More with Less: Conditional PGGAN-based Data Augmentation for Brain Metastases Detection Using Highly-Rough Annotation on MR Images Changhee Han K. Murao T. Noguchi Yusuke Kawata F. Uchiyama L. Rundo Hideki Nakayama Shiníchi Satoh MedIm 66 100 0 26 Feb 2019
Generative Image Translation for Data Augmentation of Bone Lesion Pathology Anant Gupta S. Venkatesh S. Chopra C. Ledig GAN MedIm 73 41 0 06 Feb 2019
Harnessing GANs for Zero-shot Learning of New Classes in Visual Speech Recognition Yaman Kumar Singla Dhruva Sahrawat Shubham Maheshwari Debanjan Mahata Amanda Stent Yifang Yin R. Shah Roger Zimmermann VLM 27 13 0 29 Jan 2019
Heartbeat Anomaly Detection using Adversarial Oversampling Jefferson L. P. Lima David Macêdo Cleber Zanchettin 32 19 0 28 Jan 2019
Augment your batch: better training with larger batches Elad Hoffer Tal Ben-Nun Itay Hubara Niv Giladi Torsten Hoefler Daniel Soudry ODL 129 76 0 27 Jan 2019
Generative Adversarial Networks for Black-Box API Attacks with Limited Training Data Yi Shi Y. Sagduyu Kemal Davaslioglu Jason H. Li AAML 58 29 0 25 Jan 2019
Learning Classifiers for Domain Adaptation, Zero and Few-Shot Recognition Based on Learning Latent Semantic Parts Pengkai Zhu Hanxiao Wang Venkatesh Saligrama VLM 72 10 0 25 Jan 2019