Unsupervised Image Translation using Adversarial Networks for Improved
Plant Disease Recognition

Unsupervised Image Translation using Adversarial Networks for Improved Plant Disease Recognition

26 September 2019

Papers citing "Unsupervised Image Translation using Adversarial Networks for Improved Plant Disease Recognition"

9 / 9 papers shown

Title
Data-driven Crop Growth Simulation on Time-varying Generated Images using Multi-conditional Generative Adversarial Networks L. Drees Dereje T. Demie Madhuri R. Paul Johannes Leonhardt Sabine J. Seidel Thomas F. Döring R. Roscher 6 2 0 06 Dec 2023
Embrace Limited and Imperfect Training Datasets: Opportunities and Challenges in Plant Disease Recognition Using Deep Learning Mingle Xu H. Kim Jucheng Yang A. Fuentes Yao Meng Sook Yoon Taehyun Kim D. Park 20 17 0 19 May 2023
MultiPathGAN: Structure Preserving Stain Normalization using Unsupervised Multi-domain Adversarial Network with Perception Loss H. Nazki Ognjen Arandjelovic I. Um David J. Harrison MedIm OOD 14 15 0 20 Apr 2022
Unsupervised domain adaptation and super resolution on drone images for autonomous dry herbage biomass estimation Paul Albert Mohamed Saadeldin Badri Narayanan Jaime B. Fernandez Brian Mac Namee D. Hennessey Noel E. O'Connor Kevin McGuinness 8 7 0 18 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
A two-step machine learning approach for crop disease detection: an application of GAN and UAV technology A. Prasad Nikhil Mehta Matthew Horak Wan D. Bae 20 6 0 19 Sep 2021
Temporal Prediction and Evaluation of Brassica Growth in the Field using Conditional Generative Adversarial Networks L. Drees L. Junker-Frohn Jana Kierdorf R. Roscher 11 35 0 17 May 2021
Computer Vision with Deep Learning for Plant Phenotyping in Agriculture: A Survey Akshay L Chandra Sai Vikas Desai W. Guo V. Balasubramanian 19 49 0 18 Jun 2020
LeafGAN: An Effective Data Augmentation Method for Practical Plant Disease Diagnosis Q. H. Cap H. Uga S. Kagiwada Hitoshi Iyatomi MedIm 11 144 0 24 Feb 2020