Generative Adversarial Networks for Image Augmentation in Agriculture: A
Systematic Review

Generative Adversarial Networks for Image Augmentation in Agriculture: A Systematic Review

10 April 2022

Papers citing "Generative Adversarial Networks for Image Augmentation in Agriculture: A Systematic Review"

10 / 10 papers shown

Title
A Unified Framework for Generative Data Augmentation: A Comprehensive Survey Yunhao Chen Zihui Yan Yunjie Zhu 17 3 0 30 Sep 2023
Synthetically Generating Human-like Data for Sequential Decision Making Tasks via Reward-Shaped Imitation Learning Bryan C. Brandt P. Dasgupta 13 0 0 14 Apr 2023
Inside Out: Transforming Images of Lab-Grown Plants for Machine Learning Applications in Agriculture Alexander E. Krosney Parsa Sotoodeh Christopher J. Henry Michael A. Beck C. Bidinosti 13 2 0 05 Nov 2022
GAN-Based Data Augmentation and Anonymization for Skin-Lesion Analysis: A Critical Review Alceu Bissoto Eduardo Valle Sandra Avila MedIm 45 60 0 20 Apr 2021
TorchIO: A Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning Fernando Pérez-García Rachel Sparks Sébastien Ourselin MedIm LM&MA 129 426 0 09 Mar 2020
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 262 10,183 0 12 Dec 2018
Image-to-Image Translation with Conditional Adversarial Networks Phillip Isola Jun-Yan Zhu Tinghui Zhou Alexei A. Efros SSeg 212 19,191 0 21 Nov 2016
Conditional Image Synthesis With Auxiliary Classifier GANs Augustus Odena C. Olah Jonathon Shlens GAN 224 3,183 0 30 Oct 2016
A Learned Representation For Artistic Style Vincent Dumoulin Jonathon Shlens M. Kudlur GAN 210 1,153 0 24 Oct 2016
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 420 15,438 0 02 Nov 2015