RESIDUAL SHUFFLING CONVOLUTIONAL NEURAL NETWORKS FOR DEEP SEMANTIC IMAGE SEGMENTATION USING MULTI-MODAL DATA
K. Chen,M. Weinmann,X. Gao,M. Yan,S. Hinz,B. Jutzi,and M. Weinmann
K. Chen
Key Laboratory of Spatial Information Processing and Application System Technology, Institute of Electronics, Chinese Academy of Sciences, Beijing, P.R. China
University of Chinese Academy of Sciences, Beijing, P.R. China
M. Weinmann
Institute of Computer Science II, University of Bonn, Bonn, Germany
X. Gao
Key Laboratory of Spatial Information Processing and Application System Technology, Institute of Electronics, Chinese Academy of Sciences, Beijing, P.R. China
M. Yan
Key Laboratory of Spatial Information Processing and Application System Technology, Institute of Electronics, Chinese Academy of Sciences, Beijing, P.R. China
S. Hinz
Institute of Photogrammetry and Remote Sensing, Karlsruhe Institute of Technology, Karlsruhe, Germany
B. Jutzi
Institute of Photogrammetry and Remote Sensing, Karlsruhe Institute of Technology, Karlsruhe, Germany
M. Weinmann
Institute of Photogrammetry and Remote Sensing, Karlsruhe Institute of Technology, Karlsruhe, Germany
Viewed
Total article views: 2,463 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
1,184
1,216
63
2,463
141
182
HTML: 1,184
PDF: 1,216
XML: 63
Total: 2,463
BibTeX: 141
EndNote: 182
Views and downloads (calculated since 28 May 2018)
Cumulative views and downloads
(calculated since 28 May 2018)
Viewed (geographical distribution)
Total article views: 2,253 (including HTML, PDF, and XML)
Thereof 2,248 with geography defined
and 5 with unknown origin.