Improved Part Segmentation Performance by Optimising Realism of Synthetic Images using Cycle Generative Adversarial Networks

16 March 2018

Papers citing "Improved Part Segmentation Performance by Optimising Realism of Synthetic Images using Cycle Generative Adversarial Networks"

7 / 7 papers shown

Title
Self-Supervised Data Generation for Precision Agriculture: Blending Simulated Environments with Real Imagery Leonardo Saraceni I. M. Motoi Daniele Nardi Thomas Alessandro Ciarfuglia 108 2 0 25 Feb 2025
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 88 3 0 05 Nov 2022
Generative Adversarial Networks for Image Augmentation in Agriculture: A Systematic Review E. Olaniyi Dong Chen Yuzhen Lu Ya-Yu Huang 79 37 0 10 Apr 2022
Temporal Prediction and Evaluation of Brassica Growth in the Field using Conditional Generative Adversarial Networks L. Drees L. Junker-Frohn Jana Kierdorf R. Roscher 69 37 0 17 May 2021
Scalable learning for bridging the species gap in image-based plant phenotyping Daniel Ward Peyman Moghadam 79 29 0 24 Mar 2020
Toward a Procedural Fruit Tree Rendering Framework for Image Analysis Thomas Duboudin Maxime Petit Liming Chen 21 0 0 10 Jul 2019
On the Importance of Visual Context for Data Augmentation in Scene Understanding Nikita Dvornik Julien Mairal Cordelia Schmid 110 84 0 06 Sep 2018