Evaluating the Efficacy of Cut-and-Paste Data Augmentation in Semantic Segmentation for Satellite Imagery

8 April 2024

Papers citing "Evaluating the Efficacy of Cut-and-Paste Data Augmentation in Semantic Segmentation for Satellite Imagery"

3 / 3 papers shown

Title
Synthetic Data Generation for Anomaly Detection on Table Grapes I. M. Motoi Valerio Belli Alberto Carpineto Daniele Nardi Thomas Alessandro Ciarfuglia 67 0 0 17 Dec 2024
Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation Golnaz Ghiasi Yin Cui A. Srinivas Rui Qian Tsung-Yi Lin E. D. Cubuk Quoc V. Le Barret Zoph ISeg 223 962 0 13 Dec 2020
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 232 75,445 0 18 May 2015