Data Augmentation Generative Adversarial Networks

12 November 2017

Amos Storkey

Papers citing "Data Augmentation Generative Adversarial Networks"

50 / 428 papers shown

Title
Augmentation-based Domain Generalization for Semantic Segmentation Manuel Schwonberg Fadoua El Bouazati Nico M. Schmidt Hanno Gottschalk 40 7 0 24 Apr 2023
Image retrieval outperforms diffusion models on data augmentation Max F. Burg F. Wenzel Dominik Zietlow Max Horn Osama Makansi Francesco Locatello Chris Russell VLM DiffM 45 16 0 20 Apr 2023
TTIDA: Controllable Generative Data Augmentation via Text-to-Text and Text-to-Image Models Yuwei Yin Jean Kaddour Xiang Zhang Yixin Nie Zhenguang Liu Lingpeng Kong Qi Liu DiffM 31 10 0 18 Apr 2023
Synthetically Generating Human-like Data for Sequential Decision Making Tasks via Reward-Shaped Imitation Learning Bryan C. Brandt P. Dasgupta 26 1 0 14 Apr 2023
Beyond Privacy: Navigating the Opportunities and Challenges of Synthetic Data B. V. Breugel M. Schaar 19 26 0 07 Apr 2023
Learning Stage-wise GANs for Whistle Extraction in Time-Frequency Spectrograms Pu Li M. Roch Holger Klinck Erica Fleishman D. Gillespie E. Nosal Yu Shiu Xiaobai Liu 14 6 0 05 Apr 2023
Cross-modulated Few-shot Image Generation for Colorectal Tissue Classification Amandeep Kumar A. Bhunia Sanath Narayan Hisham Cholakkal Rao Muhammad Anwer Jorma T. Laaksonen Fahad Shahbaz Khan MedIm 48 3 0 04 Apr 2023
Data-Centric Learning from Unlabeled Graphs with Diffusion Model Gang Liu Eric Inae Tong Zhao Jiaxin Xu Te Luo Meng Jiang DiffM 31 23 0 17 Mar 2023
Instance-Conditioned GAN Data Augmentation for Representation Learning Pietro Astolfi Arantxa Casanova Jakob Verbeek Pascal Vincent Adriana Romero Soriano M. Drozdzal 26 6 0 16 Mar 2023
Effective Data Augmentation With Diffusion Models Brandon Trabucco Kyle Doherty Max Gurinas Ruslan Salakhutdinov VLM DiffM 32 232 0 07 Feb 2023
Leaving Reality to Imagination: Robust Classification via Generated Datasets Hritik Bansal Aditya Grover OOD 44 87 0 05 Feb 2023
Generative Adversarial Symmetry Discovery Jianke Yang Robin G. Walters Nima Dehmamy Rose Yu GAN 19 22 0 01 Feb 2023
Stable Attribute Group Editing for Reliable Few-shot Image Generation Guanqi Ding Xinzhe Han Shuhui Wang Xin Jin Dandan Tu Qingming Huang 29 9 0 01 Feb 2023
PromptMix: Text-to-image diffusion models enhance the performance of lightweight networks Arian Bakhtiarnia Qi Zhang Alexandros Iosifidis VLM DiffM 31 3 0 30 Jan 2023
Diffusion Models as Artists: Are we Closing the Gap between Humans and Machines? Victor Boutin Thomas Fel Lakshya Singhal Rishav Mukherji Akash Nagaraj Julien Colin Thomas Serre DiffM 30 6 0 27 Jan 2023
Synthcity: facilitating innovative use cases of synthetic data in different data modalities Zhaozhi Qian B. Cebere M. Schaar SyDa 38 57 0 18 Jan 2023
SHUNIT: Style Harmonization for Unpaired Image-to-Image Translation Seokbeom Song Suhyeon Lee Hongje Seong Kyoungwon Min Euntai Kim 14 8 0 11 Jan 2023
Graph-Regularized Manifold-Aware Conditional Wasserstein GAN for Brain Functional Connectivity Generation Yee-Fan Tan C. Ting Fuad M. Noman Raphaël C.-W. Phan H. Ombao MedIm 8 6 0 10 Dec 2022
Balanced Semi-Supervised Generative Adversarial Network for Damage Assessment from Low-Data Imbalanced-Class Regime Yuqing Gao Pengyuan Zhai K. Mosalam GAN AI4CE 24 76 0 29 Nov 2022
A Maximum Log-Likelihood Method for Imbalanced Few-Shot Learning Tasks Samuel Hess G. Ditzler 49 2 0 26 Nov 2022
The Euclidean Space is Evil: Hyperbolic Attribute Editing for Few-shot Image Generation Ling Li Yi Zhang Shuhui Wang 24 16 0 22 Nov 2022
Will Large-scale Generative Models Corrupt Future Datasets? Ryuichiro Hataya Han Bao Hiromi Arai 22 51 0 15 Nov 2022
The Lean Data Scientist: Recent Advances towards Overcoming the Data Bottleneck Chen Shani Jonathan Zarecki Dafna Shahaf 29 6 0 15 Nov 2022
Local Magnification for Data and Feature Augmentation Kun He Chang-rui Liu Stephen Lin J. Hopcroft 24 2 0 15 Nov 2022
DC-Check: A Data-Centric AI checklist to guide the development of reliable machine learning systems Nabeel Seedat F. Imrie M. Schaar 27 12 0 09 Nov 2022
Extending Temporal Data Augmentation for Video Action Recognition Artjoms Gorpincenko Michal Mackiewicz ViT 29 4 0 09 Nov 2022
Adversarial Auto-Augment with Label Preservation: A Representation Learning Principle Guided Approach Kaiwen Yang Yanchao Sun Jiahao Su Fengxiang He Xinmei Tian Furong Huang Dinesh Manocha Dacheng Tao 38 13 0 02 Nov 2022
Unsupervised Learning of Structured Representations via Closed-Loop Transcription Shengbang Tong Xili Dai Yubei Chen Mingyang Li Zengyi Li Brent Yi Yann LeCun Y. Ma SSL DRL 29 7 0 30 Oct 2022
Anomaly Detection in Additive Manufacturing Processes using Supervised Classification with Imbalanced Sensor Data based on Generative Adversarial Network Jihoon Chung Bo Shen Zhenyu Zhen Kong AI4CE 17 23 0 28 Oct 2022
An Adversarial Active Sampling-based Data Augmentation Framework for Manufacturable Chip Design Mingjie Liu Haoyu Yang Zong-Yi Li K. Sastry S. Mukhopadhyay Selim Dogru Anima Anandkumar David Z. Pan Brucek Khailany Haoxing Ren 43 3 0 27 Oct 2022
Modeling the Graphotactics of Low-Resource Languages Using Sequential GANs Isaac Wasserman GAN 30 1 0 26 Oct 2022
Towards Discriminative and Transferable One-Stage Few-Shot Object Detectors Karim Guirguis Mohamed Abdelsamad George Eskandar Ahmed Hendawy Matthias Kayser B. Yang Jürgen Beyerer ObjD 27 2 0 11 Oct 2022
C-Mixup: Improving Generalization in Regression Huaxiu Yao Yiping Wang Linjun Zhang James Zou Chelsea Finn UQCV OOD 35 55 0 11 Oct 2022
Improving Sample Efficiency of Deep Learning Models in Electricity Market G. Ruan Jianxiao Wang H. Zhong Q. Xia C. Kang 9 5 0 11 Oct 2022
In What Ways Are Deep Neural Networks Invariant and How Should We Measure This? Henry Kvinge Tegan H. Emerson Grayson Jorgenson Scott Vasquez T. Doster Jesse D. Lew 51 8 0 07 Oct 2022
Augmentation Backdoors J. Rance Yiren Zhao Ilia Shumailov Robert D. Mullins AAML SILM 53 7 0 29 Sep 2022
Blind and Channel-agnostic Equalization Using Adversarial Networks V. Lauinger Michael J. Hoffmann Jonas Ney Norbert Wehn Laurent Schmalen 9 3 0 15 Sep 2022
Dynamics of Fourier Modes in Torus Generative Adversarial Networks Ángel González-Prieto Alberto Mozo Edgar Talavera Sandra Gómez Canaval GAN 19 6 0 05 Sep 2022
Hierarchical Compositional Representations for Few-shot Action Recognition Chang-bo Li Jie Zhang Shuzhe Wu Xin Jin Shiguang Shan 27 20 0 19 Aug 2022
Visual Localization via Few-Shot Scene Region Classification Siyan Dong Shuzhe Wang Yixin Zhuang Arno Solin Marc Pollefeys B. Chen 24 35 0 14 Aug 2022
A Guide to Image and Video based Small Object Detection using Deep Learning : Case Study of Maritime Surveillance Aref Miri Rekavandi Lian Xu F. Boussaïd A. Seghouane Stephen Hoefs Bennamoun ObjD 20 17 0 26 Jul 2022
Few-shot Image Generation Using Discrete Content Representation Y. Hong Li Niu Jianfu Zhang Liqing Zhang DiffM 37 11 0 22 Jul 2022
DeltaGAN: Towards Diverse Few-shot Image Generation with Sample-Specific Delta Y. Hong Li Niu Jianfu Zhang Liqing Zhang GAN 24 34 0 21 Jul 2022
Research Trends and Applications of Data Augmentation Algorithms João Fonseca F. Bação 40 4 0 18 Jul 2022
WaveGAN: Frequency-aware GAN for High-Fidelity Few-shot Image Generation Mengping Yang Zhe Wang Ziqiu Chi Wenyi Feng 25 48 0 15 Jul 2022
Mitigating Data Heterogeneity in Federated Learning with Data Augmentation Artur Back de Luca Guojun Zhang Xi Chen Yaoliang Yu FedML 24 29 0 20 Jun 2022
Explainable Global Error Weighted on Feature Importance: The xGEWFI metric to evaluate the error of data imputation and data augmentation J. Dessureault Daniel Massicotte 20 5 0 17 Jun 2022
Masked Autoencoders are Robust Data Augmentors Haohang Xu Shuangrui Ding Xiaopeng Zhang H. Xiong 35 27 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 33 21 0 31 May 2022
EventMix: An Efficient Augmentation Strategy for Event-Based Data Guobin Shen Dongcheng Zhao Yijing Zeng AI4TS 42 12 0 24 May 2022