Fusion of Heterogeneous Data in Convolutional Networks for Urban
Semantic Labeling (Invited Paper)

Fusion of Heterogeneous Data in Convolutional Networks for Urban Semantic Labeling (Invited Paper)

Joint Urban Remote Sensing Event (JURSE), 2017

20 January 2017

Nicolas Audebert

Bertrand Le Saux

Sébastien Lefèvre

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Papers citing "Fusion of Heterogeneous Data in Convolutional Networks for Urban Semantic Labeling (Invited Paper)"

9 / 9 papers shown

Title
Height estimation from single aerial images using a deep ordinal regression network Xiang Li Mingyang Wang Yi Fang 85 47 0 04 Jun 2020
Deep Learning Approach on Information Diffusion in Heterogeneous Networks Soheila Molaei Hadi Zare H. Veisi 106 51 0 23 Feb 2019
Feature Fusion through Multitask CNN for Large-scale Remote Sensing Image Segmentation Shihao Sun Lei Yang Wenjie Liu Ruirui Li 103 17 0 24 Jul 2018
Vehicle Instance Segmentation from Aerial Image and Video Using a Multi-Task Learning Residual Fully Convolutional Network Lichao Mou Xiaoxiang Zhu SSeg 96 163 0 26 May 2018
Land cover mapping at very high resolution with rotation equivariant CNNs: towards small yet accurate models Diego Marcos Michele Volpi B. Kellenberger D. Tuia 214 244 0 16 Mar 2018
IM2HEIGHT: Height Estimation from Single Monocular Imagery via Fully Residual Convolutional-Deconvolutional Network Lichao Mou Xiaoxiang Zhu MDE 148 131 0 28 Feb 2018
Deep learning for semantic segmentation of remote sensing images with rich spectral content A. Ben Hamida A. Benoît P. Lambert Louis Klein C. Ben Amar N. Audebert S. Lefèvre 44 24 0 05 Dec 2017
Urban Land Cover Classification with Missing Data Modalities Using Deep Convolutional Neural Networks Michael C. Kampffmeyer Arnt-Børre Salberg Robert Jenssen 111 52 0 21 Sep 2017
Joint Learning from Earth Observation and OpenStreetMap Data to Get Faster Better Semantic Maps Nicolas Audebert Bertrand Le Saux Sébastien Lefèvre 183 108 0 17 May 2017