Data Augmentation Generative Adversarial Networks

12 November 2017

Amos Storkey

Papers citing "Data Augmentation Generative Adversarial Networks"

50 / 428 papers shown

Title
Automatically Learning Data Augmentation Policies for Dialogue Tasks Tong Niu Joey Tianyi Zhou 21 39 0 27 Sep 2019
Implicit Semantic Data Augmentation for Deep Networks Yulin Wang Xuran Pan Shiji Song Hong Zhang Cheng Wu Gao Huang 31 194 0 26 Sep 2019
Regularising Deep Networks with Deep Generative Models M. Willetts A. Camuto Stephen J. Roberts Chris Holmes UQCV 11 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 13 22 0 20 Sep 2019
ProtoGAN: Towards Few Shot Learning for Action Recognition Sai Kumar Dwivedi Vikram Gupta Rahul Mitra Shuaib Ahmed Arjun Jain 19 94 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 24 1 0 11 Sep 2019
A Survey of Techniques All Classifiers Can Learn from Deep Networks: Models, Optimizations, and Regularization Alireza Ghods D. Cook 8 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 16 65 0 18 Aug 2019
AutoML: A Survey of the State-of-the-Art Xin He Kaiyong Zhao X. Chu 20 1,420 0 02 Aug 2019
Safe Augmentation: Learning Task-Specific Transformations from Data Irynei Baran Orest Kupyn A. Kravchenko 11 2 0 30 Jul 2019
A Group-Theoretic Framework for Data Augmentation Shuxiao Chen Edgar Dobriban Jane Lee FedML 28 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 13 8 0 17 Jul 2019
Unsupervised Domain Alignment to Mitigate Low Level Dataset Biases K. Sivamani 14 1 0 08 Jul 2019
Void region segmentation in ball grid array using u-net approach and synthetic data Vijay Kumar Neeluru Vikas Ahuja 11 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 14 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 13 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 39 523 0 26 Jun 2019
Further advantages of data augmentation on convolutional neural networks Alex Hernández-García Peter König 6 107 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 26 123 0 23 Jun 2019
Disentangled Inference for GANs with Latently Invertible Autoencoder Jiapeng Zhu Deli Zhao Bo-Wen Zhang Bolei Zhou GAN DRL 27 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 14 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 13 116 0 12 Jun 2019
Weakly-supervised Compositional FeatureAggregation for Few-shot Recognition Ping Hu Ximeng Sun Kate Saenko Stan Sclaroff OCL CoGe 10 24 0 11 Jun 2019
Suppressing Model Overfitting for Image Super-Resolution Networks Ruicheng Feng Jinjin Gu Yu Qiao Chao Dong SupR 19 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 31 105 0 05 Jun 2019
A Plug-in Method for Representation Factorization in Connectionist Models Jee Seok Yoon Wonjun Ko Heung-Il Suk 20 1 0 27 May 2019
Implicit Label Augmentation on Partially Annotated Clips via Temporally-Adaptive Features Learning Y. Lu Ziyao Tang T. Javidi 13 0 0 24 May 2019
Online Hyper-parameter Learning for Auto-Augmentation Strategy Chen Lin Minghao Guo Chuming Li Yuan Xin Wei Yu Wu Dahua Lin Wanli Ouyang Junjie Yan ODL 13 83 0 17 May 2019
Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules Daniel Ho Eric Liang Ion Stoica Pieter Abbeel Xi Chen 13 397 0 14 May 2019
Assuring the Machine Learning Lifecycle: Desiderata, Methods, and Challenges Rob Ashmore R. Calinescu Colin Paterson AI4TS 24 116 0 10 May 2019
Unified Adversarial Invariance Ayush Jaiswal Yuehua Wu Wael AbdAlmageed Premkumar Natarajan CML 16 10 0 07 May 2019
Learning Optimal Data Augmentation Policies via Bayesian Optimization for Image Classification Tasks Chunxu Zhang Jiaxu Cui Bo Yang 13 3 0 06 May 2019
Sample Amplification: Increasing Dataset Size even when Learning is Impossible Brian Axelrod Shivam Garg Vatsal Sharan Gregory Valiant 11 14 0 26 Apr 2019
A Survey on Face Data Augmentation Xiang Wang Kai Wang Shiguo Lian CVBM 15 130 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 10 33 0 24 Apr 2019
Implicit Pairs for Boosting Unpaired Image-to-Image Translation Y. Ginger Dov Danon Hadar Averbuch-Elor Daniel Cohen-Or 30 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 24 1,751 0 08 Apr 2019
DeceptionNet: Network-Driven Domain Randomization Sergey Zakharov Wadim Kehl Slobodan Ilic OOD 6 91 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 11 41 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 27 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 8 98 0 26 Feb 2019
Generative Image Translation for Data Augmentation of Bone Lesion Pathology Anant Gupta S. Venkatesh S. Chopra C. Ledig GAN MedIm 11 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 13 12 0 29 Jan 2019
Heartbeat Anomaly Detection using Adversarial Oversampling Jefferson L. P. Lima David Macêdo Cleber Zanchettin 14 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 27 72 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 11 28 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 21 10 0 25 Jan 2019
Data Augmentation with Manifold Exploring Geometric Transformations for Increased Performance and Robustness Magdalini Paschali Walter Simson Abhijit Guha Roy Muhammad Ferjad Naeem Rudiger Gobl Christian Wachinger Nassir Navab AAML 22 21 0 14 Jan 2019
Towards generative adversarial networks as a new paradigm for radiology education S. G. Finlayson Hyunkwang Lee I. Kohane Luke Oakden-Rayner GAN MedIm 8 25 0 04 Dec 2018
General-to-Detailed GAN for Infrequent Class Medical Images Tatsuki Koga Naoki Nonaka Jun Sakuma J. Seita GAN MedIm 11 2 0 28 Nov 2018