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DeepGlobe 2018: A Challenge to Parse the Earth through Satellite Images

DeepGlobe 2018: A Challenge to Parse the Earth through Satellite Images

17 May 2018
Ilke Demir
Krzysztof Koperski
David Lindenbaum
Guan Pang
Jing Huang
Saikat Basu
Forest Hughes
D. Tuia
Ramesh Raskar
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Papers citing "DeepGlobe 2018: A Challenge to Parse the Earth through Satellite Images"

5 / 105 papers shown
Title
Leveraging Crowdsourced GPS Data for Road Extraction from Aerial Imagery
Leveraging Crowdsourced GPS Data for Road Extraction from Aerial Imagery
Tao Sun
Zonglin Di
Pengyu Che
Chun Liu
Yin Wang
20
90
0
04 May 2019
Correcting rural building annotations in OpenStreetMap using
  convolutional neural networks
Correcting rural building annotations in OpenStreetMap using convolutional neural networks
John E. Vargas-Muñoz
Sylvain Lobry
A. X. Falcão
D. Tuia
31
57
0
24 Jan 2019
From Satellite Imagery to Disaster Insights
From Satellite Imagery to Disaster Insights
Jigar Doshi
Saikat Basu
Guan Pang
19
62
0
17 Dec 2018
Multitask Learning for Large-scale Semantic Change Detection
Multitask Learning for Large-scale Semantic Change Detection
Rodrigo Caye Daudt
Bertrand Le Saux
Alexandre Boulch
Y. Gousseau
28
19
0
19 Oct 2018
URBAN-i: From urban scenes to mapping slums, transport modes, and
  pedestrians in cities using deep learning and computer vision
URBAN-i: From urban scenes to mapping slums, transport modes, and pedestrians in cities using deep learning and computer vision
M. Ibrahim
James Haworth
T. Cheng
HAI
14
48
0
10 Sep 2018
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