ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1905.01447
  4. Cited By
Leveraging Crowdsourced GPS Data for Road Extraction from Aerial Imagery

Leveraging Crowdsourced GPS Data for Road Extraction from Aerial Imagery

4 May 2019
Tao Sun
Zonglin Di
Pengyu Che
Chun Liu
Yin Wang
ArXiv (abs)PDFHTML

Papers citing "Leveraging Crowdsourced GPS Data for Road Extraction from Aerial Imagery"

12 / 12 papers shown
Title
DeepGlobe 2018: A Challenge to Parse the Earth through Satellite Images
DeepGlobe 2018: A Challenge to Parse the Earth through Satellite Images
Ilke Demir
Krzysztof Koperski
David Lindenbaum
Guan Pang
Jing Huang
Saikat Basu
Forest Hughes
D. Tuia
Ramesh Raskar
54
842
0
17 May 2018
RoadTracer: Automatic Extraction of Road Networks from Aerial Images
RoadTracer: Automatic Extraction of Road Networks from Aerial Images
Favyen Bastani
Songtao He
Sofiane Abbar
Mohammad Alizadeh
H. Balakrishnan
Sanjay Chawla
Samuel Madden
D. DeWitt
69
300
0
11 Feb 2018
Beyond the Pixel-Wise Loss for Topology-Aware Delineation
Beyond the Pixel-Wise Loss for Topology-Aware Delineation
Agata Mosinska
Pablo Márquez-Neila
Mateusz Koziñski
Pascal Fua
3DV
65
233
0
06 Dec 2017
Road Extraction by Deep Residual U-Net
Road Extraction by Deep Residual U-Net
Zhengxin Zhang
Qingjie Liu
Yunhong Wang
SSeg
80
2,134
0
29 Nov 2017
DOTA: A Large-scale Dataset for Object Detection in Aerial Images
DOTA: A Large-scale Dataset for Object Detection in Aerial Images
Gui-Song Xia
X. Bai
Jian Ding
Zhen Zhu
Serge J. Belongie
Jiebo Luo
Mihai Datcu
Marcello Pelillo
Liangpei Zhang
ObjD
127
2,182
0
28 Nov 2017
Deep learning in remote sensing: a review
Deep learning in remote sensing: a review
Xiaoxiang Zhu
D. Tuia
Lichao Mou
Gui-Song Xia
Liangpei Zhang
Feng Xu
Friedrich Fraundorfer
82
1,611
0
11 Oct 2017
LinkNet: Exploiting Encoder Representations for Efficient Semantic
  Segmentation
LinkNet: Exploiting Encoder Representations for Efficient Semantic Segmentation
Abhishek Chaurasia
Eugenio Culurciello
SSeg
76
1,384
0
14 Jun 2017
TorontoCity: Seeing the World with a Million Eyes
TorontoCity: Seeing the World with a Million Eyes
Shenlong Wang
Min Bai
Gellért Máttyus
Hang Chu
Wenjie Luo
Binh Yang
Justin Liang
Joel Cheverie
Sanja Fidler
R. Urtasun
3DVViT
61
178
0
01 Dec 2016
Dense semantic labeling of sub-decimeter resolution images with
  convolutional neural networks
Dense semantic labeling of sub-decimeter resolution images with convolutional neural networks
Michele Volpi
D. Tuia
SSeg
66
478
0
02 Aug 2016
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets,
  Atrous Convolution, and Fully Connected CRFs
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Patrick Murphy
Alan Yuille
SSeg
265
18,259
0
02 Jun 2016
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOSSSeg
741
37,886
0
20 May 2016
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg3DV
1.9K
77,341
0
18 May 2015
1