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Overcoming Missing and Incomplete Modalities with Generative Adversarial
  Networks for Building Footprint Segmentation

Overcoming Missing and Incomplete Modalities with Generative Adversarial Networks for Building Footprint Segmentation

9 August 2018
B. Bischke
P. Helber
F. König
Damian Borth
Andreas Dengel
    MedIm
ArXiv (abs)PDFHTML

Papers citing "Overcoming Missing and Incomplete Modalities with Generative Adversarial Networks for Building Footprint Segmentation"

4 / 4 papers shown
Title
Multi-Modal Deep Learning for Multi-Temporal Urban Mapping With a Partly
  Missing Optical Modality
Multi-Modal Deep Learning for Multi-Temporal Urban Mapping With a Partly Missing Optical Modality
Sebastian Hafner
Y. Ban
24
2
0
01 Jun 2023
Incomplete Multimodal Learning for Remote Sensing Data Fusion
Incomplete Multimodal Learning for Remote Sensing Data Fusion
Yuxing Chen
Maofan Zhao
Lorenzo Bruzzone
72
3
0
22 Apr 2023
Adversarial Shape Learning for Building Extraction in VHR Remote Sensing
  Images
Adversarial Shape Learning for Building Extraction in VHR Remote Sensing Images
L. Ding
Hao Tang
Yahui Liu
Yilei Shi
Xiaoxiang Zhu
Lorenzo Bruzzone
3DPCGAN
100
45
0
22 Feb 2021
Progressively Growing Generative Adversarial Networks for High
  Resolution Semantic Segmentation of Satellite Images
Progressively Growing Generative Adversarial Networks for High Resolution Semantic Segmentation of Satellite Images
Edward Collier
Kate Duffy
S. Ganguly
G. Madanguit
Subodh Kalia
...
R. Nemani
A. Michaelis
Shuang Li
A. Ganguly
S. Mukhopadhyay
GAN
36
23
0
12 Feb 2019
1