ResUNet-a: a deep learning framework for semantic segmentation of
remotely sensed data

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ResUNet-a: a deep learning framework for semantic segmentation of remotely sensed data

1 April 2019

F. Diakogiannis

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Papers citing "ResUNet-a: a deep learning framework for semantic segmentation of remotely sensed data"

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Res-CR-Net, a residual network with a novel architecture optimized for the semantic segmentation of microscopy images H. Abdallah Asiri G. Liyanaarachchi Maranda Saigh Samantha Silvers S. Arslanturk D. Taatjes L. Larsson B. Jena D. Gatti SSeg 42 9 0 14 Apr 2020
ResUNet++: An Advanced Architecture for Medical Image Segmentation Debesh Jha P. Smedsrud Michael A. Riegler Dag Johansen Thomas de Lange Pål Halvorsen H. Johansen SSeg 106 937 0 16 Nov 2019
Deep learning on edge: extracting field boundaries from satellite images with a convolutional neural network F. Waldner F. Diakogiannis 121 208 0 26 Oct 2019