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Multi-Task Learning for Segmentation of Building Footprints with Deep
  Neural Networks

Multi-Task Learning for Segmentation of Building Footprints with Deep Neural Networks

18 September 2017
B. Bischke
P. Helber
Joachim Folz
Damian Borth
Andreas Dengel
    SSeg
ArXivPDFHTML

Papers citing "Multi-Task Learning for Segmentation of Building Footprints with Deep Neural Networks"

15 / 15 papers shown
Title
TPE-Net: Track Point Extraction and Association Network for Rail Path
  Proposal Generation
TPE-Net: Track Point Extraction and Association Network for Rail Path Proposal Generation
Jungwon Kang
Mohammadjavad Ghorbanalivakili
Gunho Sohn
David Beach
Veronica Marin
13
3
0
11 Feb 2023
An End-to-End Two-Phase Deep Learning-Based workflow to Segment Man-made
  Objects Around Reservoirs
An End-to-End Two-Phase Deep Learning-Based workflow to Segment Man-made Objects Around Reservoirs
Nayereh Hamidishad
R. M. C. Junior
27
1
0
07 Feb 2023
Body Segmentation Using Multi-task Learning
Body Segmentation Using Multi-task Learning
Julijan Jug
Ajda Lampe
Vitomir Štruc
Peter Peer
3DH
18
2
0
13 Dec 2022
Semi-Supervised Building Footprint Generation with Feature and Output
  Consistency Training
Semi-Supervised Building Footprint Generation with Feature and Output Consistency Training
Qingyu Li
Yilei Shi
Xiao Xiang Zhu
18
24
0
17 May 2022
Self-Supervised Learning for Invariant Representations from
  Multi-Spectral and SAR Images
Self-Supervised Learning for Invariant Representations from Multi-Spectral and SAR Images
P. Jain
Bianca Schoen-Phelan
R. Ross
27
32
0
04 May 2022
Uncertainty, Edge, and Reverse-Attention Guided Generative Adversarial
  Network for Automatic Building Detection in Remotely Sensed Images
Uncertainty, Edge, and Reverse-Attention Guided Generative Adversarial Network for Automatic Building Detection in Remotely Sensed Images
Somrita Chattopadhyay
A. Kak
18
4
0
10 Dec 2021
Every Annotation Counts: Multi-label Deep Supervision for Medical Image
  Segmentation
Every Annotation Counts: Multi-label Deep Supervision for Medical Image Segmentation
Simon Reiß
C. Seibold
Alexander Freytag
E. Rodner
Rainer Stiefelhagen
89
61
0
27 Apr 2021
Objective-Dependent Uncertainty Driven Retinal Vessel Segmentation
Objective-Dependent Uncertainty Driven Retinal Vessel Segmentation
Suraj Mishra
Danny Chen
Sharon Hu
24
6
0
17 Apr 2021
Learning Boost by Exploiting the Auxiliary Task in Multi-task Domain
Learning Boost by Exploiting the Auxiliary Task in Multi-task Domain
Jonghwa Yim
Sang Hwan Kim
21
2
0
05 Aug 2020
Deep Learning of Unified Region, Edge, and Contour Models for Automated
  Image Segmentation
Deep Learning of Unified Region, Edge, and Contour Models for Automated Image Segmentation
Ali Hatamizadeh
SSeg
29
3
0
23 Jun 2020
Building Footprint Generation by IntegratingConvolution Neural Network
  with Feature PairwiseConditional Random Field (FPCRF)
Building Footprint Generation by IntegratingConvolution Neural Network with Feature PairwiseConditional Random Field (FPCRF)
Qingyu Li
Yilei Shi
Xin Huang
Xiaoxiang Zhu
38
65
0
11 Feb 2020
Deep Semantic Segmentation of Natural and Medical Images: A Review
Deep Semantic Segmentation of Natural and Medical Images: A Review
Saeid Asgari Taghanaki
Kumar Abhishek
Joseph Paul Cohen
Julien Cohen-Adad
Ghassan Hamarneh
SSeg
VLM
36
667
0
16 Oct 2019
Cross-connected Networks for Multi-task Learning of Detection and
  Segmentation
Cross-connected Networks for Multi-task Learning of Detection and Segmentation
Seiichiro Fukuda
Ryota Yoshihashi
Rei Kawakami
Shaodi You
M. Iida
T. Naemura
16
15
0
15 May 2018
TernausNet: U-Net with VGG11 Encoder Pre-Trained on ImageNet for Image
  Segmentation
TernausNet: U-Net with VGG11 Encoder Pre-Trained on ImageNet for Image Segmentation
V. Iglovikov
Alexey A. Shvets
SSeg
14
606
0
17 Jan 2018
EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and
  Land Cover Classification
EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification
P. Helber
B. Bischke
Andreas Dengel
Damian Borth
22
1,732
0
31 Aug 2017
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