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A 3D point cloud describes the real scene precisely and intuitively.To date how to segment diversified elements in such an informative 3D scene is rarely discussed.
Mean shift: A robust approach toward feature space analysis
D. Comaniciu and P. Meer · 2002
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Visualizing data using t-sne
L. v. d. Maaten and G. Hinton · 2008
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Imagenet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
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Rich feature hierarchies for accurate object detection and semantic segmentation
R. Girshick, J. Donahue, T. Darrell, and J. Malik · 2014
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Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 2014
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Fully convolutional networks for semantic segmentation
J. Long, E. Shelhamer, and T. Darrell · 2015
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Voxnet: A 3d convolutional neural network for real-time object recognition
D. Maturana and S. Scherer · 2015
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Learning to segment object candidates
P. O. Pinheiro, R. Collobert, and P. Dollár · 2015
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DeepPano: Deep panoramic representation for 3-d shape recognition
B. Shi, S. Bai, Z. Zhou, and X. Bai · 2015
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Multi-view convolutional neural networks for 3d shape recognition
H. Su, S. Maji, E. Kalogerakis, and E. Learned-Miller · 2015
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3d shapenets: A deep representation for volumetric shapes
Z. Wu, S. Song, A. Khosla, F. Yu, L. Zhang, X. Tang, and J. Xiao · 2015
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3d semantic parsing of large-scale indoor spaces
I. Armeni, O. Sener, A. R. Zamir, H. Jiang, I. Brilakis, M. Fischer, and S. Savarese · 2016
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Instance-sensitive fully convolutional networks
J. Dai, K. He, Y. Li, S. Ren, and J. Sun · 2016
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Instance-aware semantic segmentation via multi-task network cascades
J. Dai, K. He, and J. Sun · 2016
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Point cloud labeling using 3d convolutional neural network
J. Huang and S. You · 2016
Cited alongside, same era.
Point cloud labeling using 3d convolutional neural network
J. Huang and S. You · 2016
Cited alongside, same era.
Volumetric and multi-view cnns for object classification on 3d data
C. R. Qi, H. Su, M. Nießner, A. Dai, M. Yan, and L. J. Guibas · 2016
Cited alongside, same era.
A scalable active framework for region annotation in 3d shape collections
L. Yi, V. G. Kim, D. Ceylan, I.-C. Shen, M. Yan, H. Su, C. Lu, Q. Huang, A. Sheffer, and L. Guibas · 2016
Cited alongside, same era.
Rethinking atrous convolution for semantic image segmentation
L.-C. Chen, G. Papandreou, F. Schroff, and H. Adam · 2017
Cited alongside, same era.
Semantic instance segmentation with a discriminative loss function
B. De Brabandere, D. Neven, and L. Van Gool · 2017
Pointnet: Deep learning on point sets for 3d classification and segmentation
C. R. Qi, H. Su, K. Mo, and L. J. Guibas · 2017
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Pointnet++: Deep hierarchical feature learning on point sets in a metric space
C. R. Qi, L. Yi, H. Su, and L. J. Guibas · 2017
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End-to-end instance segmentation with recurrent attention
M. Ren and R. S. Zemel · 2017
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Octnet: Learning deep 3d representations at high resolutions
G. Riegler, A. O. Ulusoy, and A. Geiger · 2017
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Segcloud: Semantic segmentation of 3d point clouds
L. Tchapmi, C. Choy, I. Armeni, J. Gwak, and S. Savarese · 2017
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Indoor scene parsing with instance segmentation, semantic labeling and support relationship inference
W. Zhuo, M. Salzmann, X. He, and M. Liu · 2017
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Cited alongside, same era.
Exploring spatial context for 3d semantic segmentation of point clouds
E. Francis, K. Theodora, H. Alexander, and L. Bastian · 2017
Cited alongside, same era.
Snapnet-r: Consistent 3d multi-view semantic labeling for robotics
J. Guerry, A. Boulch, B. Le Saux, J. Moras, A. Plyer, and D. Filliat · 2017
Cited alongside, same era.
Mask r-cnn
K. He, G. Gkioxari, P. Dollár, and R. Girshick · 2017
Cited alongside, same era.
Refinenet: Multi-path refinement networks for high-resolution semantic segmentation
G. Lin, A. Milan, C. Shen, and I. D. Reid · 2017
Cited alongside, same era.
Exploring context with deep structured models for semantic segmentation
G. Lin, C. Shen, A. van den Hengel, and I. Reid · 2017
Cited alongside, same era.
Sequential grouping networks for instance segmentation
S. Liu, J. Jia, S. Fidler, and R. Urtasun · 2017
Cited alongside, same era.
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Recurrent slice networks for 3d segmentation of point clouds
Q. Huang, W. Wang, and U. Neumann · 2018
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Panoptic segmentation
A. Kirillov, K. He, R. Girshick, C. Rother, and P. Dollár · 2018
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Large-scale point cloud semantic segmentation with superpoint graphs
L. Landrieu and M. Simonovsky · 2018
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Pointcnn
Y. Li, R. Bu, M. Sun, and B. Chen · 2018
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SGPN: Similarity group proposal network for 3d point cloud instance segmentation
W. Wang, R. Yu, Q. Huang, and U. Neumann · 2018
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Dynamic graph cnn for learning on point clouds
Y. Wang, Y. Sun, Z. Liu, S. E. Sarma, M. M. Bronstein, and J. M. Solomon · 2018
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3d recurrent neural networks with context fusion for point cloud semantic segmentation
X. Ye, J. Li, H. Huang, L. Du, and X. Zhang · 2018
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