Multi-Task Learning of Height and Semantics from Aerial Images

18 November 2019

Papers citing "Multi-Task Learning of Height and Semantics from Aerial Images"

8 / 8 papers shown

Title
IM2HEIGHT: Height Estimation from Single Monocular Imagery via Fully Residual Convolutional-Deconvolutional Network Lichao Mou Xiaoxiang Zhu MDE 85 120 0 28 Feb 2018
Beyond RGB: Very High Resolution Urban Remote Sensing With Multimodal Deep Networks Nicolas Audebert Bertrand Le Saux Sébastien Lefèvre 102 517 0 23 Nov 2017
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics Alex Kendall Y. Gal R. Cipolla 3DH 274 3,137 0 19 May 2017
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? Alex Kendall Y. Gal BDL OOD UD UQCV PER 372 4,724 0 15 Mar 2017
Classification With an Edge: Improving Semantic Image Segmentation with Boundary Detection D. Marmanis Konrad Schindler Jan Dirk Wegner S. Galliani Mihai Datcu Uwe Stilla 123 604 0 05 Dec 2016
Deeper Depth Prediction with Fully Convolutional Residual Networks Iro Laina Christian Rupprecht Vasileios Belagiannis Federico Tombari Nassir Navab 3DV MDE 417 1,833 0 01 Jun 2016
The Cityscapes Dataset for Semantic Urban Scene Understanding Marius Cordts Mohamed Omran Sebastian Ramos Timo Rehfeld Markus Enzweiler Rodrigo Benenson Uwe Franke Stefan Roth Bernt Schiele 1.1K 11,664 0 06 Apr 2016
Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Architecture David Eigen Rob Fergus VLM MDE 214 2,684 0 18 Nov 2014