Title
DiffGAN: A Test Generation Approach for Differential Testing of Deep Neural Networks Zohreh Aghababaeyan Manel Abdellatif Lionel C. Briand Ramesh S DiffM 42 0 0 15 Oct 2024
A Comprehensive Survey on Data Augmentation Zaitian Wang Pengfei Wang Kunpeng Liu Pengyang Wang Yanjie Fu Chang-Tien Lu Charu Aggarwal Jian Pei Yuanchun Zhou ViT 109 22 0 15 May 2024
Hyperparameter-Free Medical Image Synthesis for Sharing Data and Improving Site-Specific Segmentation A. Chebykin Peter A. N. Bosman Tanja Alderliesten MedIm 32 0 0 09 Apr 2024
Synthesizing Bidirectional Temporal States of Knee Osteoarthritis Radiographs with Cycle-Consistent Generative Adversarial Neural Networks Fabi Prezja L. Annala Sampsa Kiiskinen Suvi Lahtinen Timo Ojala MedIm 14 3 0 10 Nov 2023
AI-Generated Images as Data Source: The Dawn of Synthetic Era Zuhao Yang Fangneng Zhan Kunhao Liu Muyu Xu Shijian Lu EGVM 31 18 0 03 Oct 2023
Image Captions are Natural Prompts for Text-to-Image Models Shiye Lei Hao Chen Senyang Zhang Bo Zhao Dacheng Tao VLM 32 19 0 17 Jul 2023
Generating Synthetic Datasets by Interpolating along Generalized Geodesics JiaoJiao Fan David Alvarez-Melis 24 10 0 12 Jun 2023
Generating synthetic multi-dimensional molecular-mediator time series data for artificial intelligence-based disease trajectory forecasting and drug development digital twins: Considerations G. An Chase Cockrell 26 2 0 16 Mar 2023
Randomized Quantization: A Generic Augmentation for Data Agnostic Self-supervised Learning Huimin Wu Chenyang Lei Xiao Sun Pengju Wang Qifeng Chen Kwang-Ting Cheng Stephen Lin Zhirong Wu MQ 38 5 0 19 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 29 76 0 29 Nov 2022
DALL-E for Detection: Language-driven Compositional Image Synthesis for Object Detection Yunhao Ge Lyne Tchapmi Brian Nlong Zhao Neel Joshi Laurent Itti Vibhav Vineet DiffM ObjD 28 16 0 20 Jun 2022
Synthesizing Informative Training Samples with GAN Bo Zhao Hakan Bilen DD 37 75 0 15 Apr 2022
Generative Adversarial Networks for Image Augmentation in Agriculture: A Systematic Review E. Olaniyi Dong Chen Yuzhen Lu Ya-Yu Huang 21 38 0 10 Apr 2022
Evaluating Procedures for Establishing Generative Adversarial Network-based Stochastic Image Models in Medical Imaging Varun A. Kelkar Dimitrios S. Gotsis F. Brooks Kyle J. Myers Prabhat Kc R. Zeng M. Anastasio MedIm 24 1 0 07 Apr 2022
EnvEdit: Environment Editing for Vision-and-Language Navigation Jialu Li Hao Tan Joey Tianyi Zhou 31 80 0 29 Mar 2022
You Only Cut Once: Boosting Data Augmentation with a Single Cut Junlin Han Pengfei Fang Weihong Li Jie Hong M. Armin Ian Reid L. Petersson Hongdong Li 38 27 0 28 Jan 2022
External Attention Assisted Multi-Phase Splenic Vascular Injury Segmentation with Limited Data Yuyin Zhou D. Dreizin Yan Wang Fengze Liu Wei Shen Alan Yuille 20 16 0 04 Jan 2022
Incentivizing Collaboration in Machine Learning via Synthetic Data Rewards Sebastian Shenghong Tay Xinyi Xu Chuan-Sheng Foo Bryan Kian Hsiang Low SyDa 24 32 0 17 Dec 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 191 102 0 10 Nov 2021
Repaint: Improving the Generalization of Down-Stream Visual Tasks by Generating Multiple Instances of Training Examples Amin Banitalebi-Dehkordi Yong Zhang 28 7 0 20 Oct 2021
Generating Symbolic Reasoning Problems with Transformer GANs Jens U. Kreber Christopher Hahn AI4CE 30 6 0 19 Oct 2021
Improving Fractal Pre-training Connor Anderson Ryan Farrell 88 27 0 06 Oct 2021
Semi-supervised Contrastive Learning for Label-efficient Medical Image Segmentation Xinrong Hu Dewen Zeng Xiaowei Xu Yiyu Shi SSL 27 105 0 15 Sep 2021
Explainable Machine Learning using Real, Synthetic and Augmented Fire Tests to Predict Fire Resistance and Spalling of RC Columns M. Z. Naser Venkatesh Kodur 9 59 0 22 Aug 2021
The Devil is in the GAN: Backdoor Attacks and Defenses in Deep Generative Models Ambrish Rawat Killian Levacher M. Sinn AAML 30 11 0 03 Aug 2021
Vision-Language Navigation with Random Environmental Mixup Chong Liu Fengda Zhu Xiaojun Chang Xiaodan Liang Zongyuan Ge Yi-Dong Shen LM&Ro 56 86 0 15 Jun 2021
Enhanced Magnetic Resonance Image Synthesis with Contrast-Aware Generative Adversarial Networks Jonas Denck J. Guehring Andreas Maier E. Rothgang MedIm GAN 33 9 0 17 Feb 2021
Explainability of deep vision-based autonomous driving systems: Review and challenges Éloi Zablocki H. Ben-younes P. Pérez Matthieu Cord XAI 42 170 0 13 Jan 2021
Towards All-around Knowledge Transferring: Learning From Task-irrelevant Labels Hai-Tao Zheng Ruiyang Liu Zihao Zhang Ning Ding Ying Shen Li Tao Haitao Zheng 21 0 0 17 Nov 2020
Viewmaker Networks: Learning Views for Unsupervised Representation Learning Alex Tamkin Mike Wu Noah D. Goodman SSL 28 64 0 14 Oct 2020
Segmentation of Lungs in Chest X-Ray Image Using Generative Adversarial Networks Faizan Munawar Shoaib Azmat Talha Iqbal C. Grönlund Hazrat Ali GAN MedIm 24 61 0 12 Sep 2020
Synthetic Sample Selection via Reinforcement Learning Jiarong Ye Yuan Xue L. R. Long Sameer Kiran Antani Z. Xue K. Cheng Xiaolei Huang MedIm 10 24 0 26 Aug 2020
Communication-Efficient and Distributed Learning Over Wireless Networks: Principles and Applications Jihong Park S. Samarakoon Anis Elgabli Joongheon Kim M. Bennis Seong-Lyun Kim Mérouane Debbah 34 161 0 06 Aug 2020
Regularizing Deep Networks with Semantic Data Augmentation Yulin Wang Gao Huang Shiji Song Xuran Pan Yitong Xia Cheng Wu 19 155 0 21 Jul 2020
Semi-supervised Task-driven Data Augmentation for Medical Image Segmentation K. Chaitanya Neerav Karani Christian F. Baumgartner Ertunc Erdil Anton S. Becker O. Donati E. Konukoglu MedIm 17 91 0 09 Jul 2020
GAN Memory with No Forgetting Yulai Cong Miaoyun Zhao Jianqiao Li Sijia Wang Lawrence Carin CLL 13 116 0 13 Jun 2020
FedGAN: Federated Generative Adversarial Networks for Distributed Data M. Rasouli Tao Sun Ram Rajagopal FedML 30 143 0 12 Jun 2020
Regularization Methods for Generative Adversarial Networks: An Overview of Recent Studies Minhyeok Lee Junhee Seok GAN 27 25 0 19 May 2020
Data augmentation using generative networks to identify dementia B. Mirheidari Yilin Pan D. Blackburn R. O'Malley Traci Walker A. Venneri M. Reuber H. Christensen MedIm 13 4 0 13 Apr 2020
On Leveraging Pretrained GANs for Generation with Limited Data Miaoyun Zhao Yulai Cong Lawrence Carin 34 21 0 26 Feb 2020
Controlling generative models with continuous factors of variations Antoine Plumerault Hervé Le Borgne C´eline Hudelot DRL 30 126 0 28 Jan 2020
mustGAN: Multi-Stream Generative Adversarial Networks for MR Image Synthesis Mahmut Yurt S. Dar Aykut Erdem Erkut Erdem Tolga Çukur MedIm 33 142 0 25 Sep 2019
DCGANs for Realistic Breast Mass Augmentation in X-ray Mammography Basel Alyafi Oliver Díaz Robert Martí MedIm 14 25 0 04 Sep 2019
Imbalance Problems in Object Detection: A Review Kemal Oksuz Baris Can Cam Sinan Kalkan Emre Akbas ObjD 18 458 0 31 Aug 2019
AutoML: A Survey of the State-of-the-Art Xin He Kaiyong Zhao X. Chu 20 1,420 0 02 Aug 2019
Semi-Supervised and Task-Driven Data Augmentation K. Chaitanya Neerav Karani Christian F. Baumgartner O. Donati Anton S. Becker E. Konukoglu MedIm 16 143 0 11 Feb 2019
Generative Adversarial Network in Medical Imaging: A Review Xin Yi Ekta Walia P. Babyn GAN MedIm 31 1,370 0 19 Sep 2018