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Fast and Accurate Semantic Mapping through Geometric-based Incremental
  Segmentation

Fast and Accurate Semantic Mapping through Geometric-based Incremental Segmentation

7 March 2018
Yoshikatsu Nakajima
Keisuke Tateno
Federico Tombari
Hideo Saito
ArXiv (abs)PDFHTML

Papers citing "Fast and Accurate Semantic Mapping through Geometric-based Incremental Segmentation"

12 / 12 papers shown
Title
InfiniTAM v3: A Framework for Large-Scale 3D Reconstruction with Loop
  Closure
InfiniTAM v3: A Framework for Large-Scale 3D Reconstruction with Loop Closure
V. Prisacariu
O. Kähler
Stuart Golodetz
Michael Sapienza
Tommaso Cavallari
Philip Torr
D. W. Murray
64
107
0
02 Aug 2017
Semantic 3D Occupancy Mapping through Efficient High Order CRFs
Semantic 3D Occupancy Mapping through Efficient High Order CRFs
Shichao Yang
Yulan Huang
Sebastian Scherer
3DPC
48
76
0
24 Jul 2017
Rethinking Atrous Convolution for Semantic Image Segmentation
Rethinking Atrous Convolution for Semantic Image Segmentation
Liang-Chieh Chen
George Papandreou
Florian Schroff
Hartwig Adam
SSeg
230
8,473
0
17 Jun 2017
Semi-Dense 3D Semantic Mapping from Monocular SLAM
Semi-Dense 3D Semantic Mapping from Monocular SLAM
Xuanpeng Li
R. Belaroussi
56
63
0
13 Nov 2016
SemanticFusion: Dense 3D Semantic Mapping with Convolutional Neural
  Networks
SemanticFusion: Dense 3D Semantic Mapping with Convolutional Neural Networks
J. McCormac
Ankur Handa
Andrew J. Davison
Stefan Leutenegger
3DPC
57
556
0
16 Sep 2016
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOSSSeg
741
37,862
0
20 May 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,020
0
10 Dec 2015
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
1.1K
15,802
0
02 Nov 2015
Learning Deconvolution Network for Semantic Segmentation
Learning Deconvolution Network for Semantic Segmentation
Hyeonwoo Noh
Seunghoon Hong
Bohyung Han
SSeg
232
4,178
0
17 May 2015
Real-time Monocular Object SLAM
Real-time Monocular Object SLAM
Dorian Gálvez-López
M. Salas
Juan D. Tardós
José M.M. Montiel
50
130
0
09 Apr 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAttMDE
1.6K
100,386
0
04 Sep 2014
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
413
43,667
0
01 May 2014
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