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

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

8 April 2024

Leonardo Saraceni

Thomas Alessandro Ciarfuglia

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

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Title
Synthetic Data Generation for Anomaly Detection on Table Grapes I. M. Motoi Valerio Belli Alberto Carpineto Daniele Nardi Thomas Alessandro Ciarfuglia 106 0 0 17 Dec 2024
A Comprehensive Survey of Image Augmentation Techniques for Deep Learning Mingle Xu Sook Yoon A. Fuentes D. Park VLM 123 428 0 03 May 2022
DynamicEarthNet: Daily Multi-Spectral Satellite Dataset for Semantic Change Segmentation Aysim Toker L. Kondmann Mark Weber Marvin Eisenberger Andrés Camero ... T. Davis Daniel Cremers G. Marchisio Xiao Xiang Zhu Laura Leal-Taixé 58 85 0 23 Mar 2022
Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation Golnaz Ghiasi Huayu Chen A. Srinivas Rui Qian Nayeon Lee E. D. Cubuk Quoc V. Le Barret Zoph ISeg 332 994 0 13 Dec 2020
InstaBoost: Boosting Instance Segmentation via Probability Map Guided Copy-Pasting Haoshu Fang Jianhua Sun Runzhong Wang Minghao Gou Yong-Lu Li Cewu Lu ISeg 65 210 0 21 Aug 2019
On the Importance of Visual Context for Data Augmentation in Scene Understanding Nikita Dvornik Julien Mairal Cordelia Schmid 95 84 0 06 Sep 2018
Modeling Visual Context is Key to Augmenting Object Detection Datasets Nikita Dvornik Julien Mairal Cordelia Schmid 85 245 0 19 Jul 2018
Learning to Segment via Cut-and-Paste Tal Remez Jonathan Huang Matthew A. Brown 89 99 0 16 Mar 2018
Cut, Paste and Learn: Surprisingly Easy Synthesis for Instance Detection Debidatta Dwibedi Ishan Misra M. Hebert 111 625 0 04 Aug 2017
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.9K 77,595 0 18 May 2015