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This paper investigates the indistinguishable points (difficult to predict label) in semantic segmentation for large-scale 3D point clouds.
KPConv: Flexible and Deformable Convolution for Point Clouds
Thomas, H.; Qi, C. R.; Deschaud, J.-E.; Marcotegui, B.; Goulette, F.; and Guibas, L. J. 2019 · 1904
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Rusu, R. B.; Marton, Z. C.; Blodow, N.; Dolha, M.; and Beetz, M. 2008 · 2008
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Bruna, J.; Zaremba, W.; Szlam, A.; and LeCun, Y. 2013 · 2013
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3d semantic parsing of large-scale indoor spaces
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PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
Charles, R. Q.; Su, H.; Kaichun, M.; and Guibas, L. J. 2017 · 2017
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Multi-view 3d object detection network for autonomous driving
Chen, X.; Ma, H.; Wan, J.; Li, B.; and Xia, T. 2017 · 2017
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Scannet: Richly-annotated 3d reconstructions of indoor scenes
Dai, A.; Chang, A. X.; Savva, M.; Halber, M.; Funkhouser, T.; and Nießner, M. 2017 · 2017
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Not all pixels are equal: Difficulty-aware semantic segmentation via deep layer cascade
Li, X.; Liu, Z.; Luo, P.; Change Loy, C.; and Tang, X. 2017 · 2017
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Segcloud: Semantic segmentation of 3d point clouds
Tchapmi, L.; Choy, C.; Armeni, I.; Gwak, J.; and Savarese, S. 2017 · 2017
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Recurrent slice networks for 3d segmentation of point clouds
Huang, Q.; Wang, W.; and Neumann, U. 2018 · 2018
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Pointsift: A sift-like network module for 3d point cloud semantic segmentation
Jiang, M.; Wu, Y.; Zhao, T.; Zhao, Z.; and Lu, C. 2018 · 2018
Cited alongside, same era.
Large-scale point cloud semantic segmentation with superpoint graphs
Landrieu, L.; and Simonovsky, M. 2018 · 2018
Cited alongside, same era.
Pointcnn: Convolution on x-transformed points
Li, Y.; Bu, R.; Sun, M.; Wu, W.; Di, X.; and Chen, B. 2018 · 2018
Cited alongside, same era.
Tangent convolutions for dense prediction in 3d
Tatarchenko, M.; Park, J.; Koltun, V.; and Zhou, Q.-Y. 2018 · 2018
Cited alongside, same era.
3d recurrent neural networks with context fusion for point cloud semantic segmentation
Ye, X.; Li, J.; Huang, H.; Du, L.; and Zhang, X. 2018 · 2018
Cited alongside, same era.
Efficient convolutions for real-time semantic segmentation of 3d point clouds
Pointconv: Deep convolutional networks on 3d point clouds
Wu, W.; Qi, Z.; and Fuxin, L. 2019 · 2019
Later among the works it cites.
Modeling point clouds with self-attention and gumbel subset sampling
Yang, J.; Zhang, Q.; Ni, B.; Li, L.; Liu, J.; Zhou, M.; and Tian, Q. 2019 · 2019
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ShellNet: Efficient Point Cloud Convolutional Neural Networks using Concentric Shells Statistics
Zhang, Z.; Hua, B.-S.; and Yeung, S.-K. 2019 · 2019
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PointWeb: Enhancing local neighborhood features for point cloud processing
Zhao, H.; Jiang, L.; Fu, C.-W.; and Jia, J. 2019 · 2019
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ConvPoint: Continuous convolutions for point cloud processing
Boulch, A. 2020 · 2020
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Zhang, C.; Luo, W.; and Urtasun, R. 2018 · 2018
Cited alongside, same era.
Gcnet: Non-local networks meet squeeze-excitation networks and beyond
Cao, Y.; Xu, J.; Lin, S.; Wei, F.; and Hu, H. 2019 · 2019
Cited alongside, same era.
LassoNet: Deep Lasso-Selection of 3D Point Clouds
Chen, Z.; Zeng, W.; Yang, Z.; Yu, L.; Fu, C. W.; and Qu, H. 2020 · 2019
Cited alongside, same era.
A-CNN: Annularly Convolutional Neural Networks on Point Clouds
Komarichev, A.; Zhong, Z.; and Hua, J. 2019 · 2019
Cited alongside, same era.
Graph Attention Convolution for Point Cloud Semantic Segmentation
Wang, L.; Huang, Y.; Hou, Y.; Zhang, S.; and Shan, J. 2019 · 2019
Cited alongside, same era.
Pointnet: Deep learning on point sets for 3d classification and segmentation
Qi, C. R.; Su, H.; Mo, K.; and Guibas, L. J. 2017a
Cited in the paper.
Pointnet++: Deep hierarchical feature learning on point sets in a metric space
Qi, C. R.; Yi, L.; Su, H.; and Guibas, L. J. 2017b
Cited in the paper.
Han, W.; Wen, C.; Wang, C.; Li, X.; and Li, Q. 2020 · 2020
Later among the works it cites.
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds
Hu, Q.; Yang, B.; Xie, L.; Rosa, S.; Guo, Y.; Wang, Z.; Trigoni, N.; and Markham, A. 2020 · 2020
Later among the works it cites.
FPConv: Learning Local Flattening for Point Convolution
Lin, Y.; Yan, Z.; Huang, H.; Du, D.; Liu, L.; Cui, S.; and Han, X. 2020 · 2020
Later among the works it cites.
Geometry Sharing Network for 3D Point Cloud Classification and Segmentation
Xu, M.; Zhou, Z.; and Qiao, Y. 2020 · 2020
Later among the works it cites.
PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling
Yan, X.; Zheng, C.; Li, Z.; Wang, S.; and Cui, S. 2020 · 2020
Later among the works it cites.