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We propose a novel, conceptually simple and general framework for instance segmentation on 3D point clouds.
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PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
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OctNet: Learning Deep 3D Representations at High Resolutions
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SqueezeSeg: Convolutional Neural Nets with Recurrent CRF for Real-Time Road-Object Segmentation from 3D LiDAR Point Cloud
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Monte Carlo Convolution for Learning on Non-Uniformly Sampled Point Clouds
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VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection
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P. Hermosilla, T. Ritschel, P.-P. Vazquez, A. Vinacua, and T. Ropinski · 2018
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Pointwise Convolutional Neural Networks
B.-S. Hua, M.-K. Tran, and S.-K. Yeung · 2018
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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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Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs
L. Landrieu and M. Simonovsky · 2018
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PointGrid: A Deep Network for 3D Shape Understanding
T. Le and Y. Duan · 2018
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SO-Net: Self-Organizing Network for Point Cloud Analysis
J. Li, B. M. Chen, and G. H. Lee · 2018
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PointCNN : Convolution On X -Transformed Points
Y. Li, R. Bu, M. Sun, W. Wu, X. Di, and B. Chen · 2018
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Y. Zhou and O. Tuzel · 2018
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4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks
C. Choy, J. Gwak, and S. Savarese · 2019
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3D-BEVIS: Birds-Eye-View Instance Segmentation
C. Elich, F. Engelmann, J. Schult, T. Kontogianni, and B. Leibe · 2019
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Stochastic Optimization of Sorting Networks via Continuous Relaxations
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3D-SIS: 3D Semantic Instance Segmentation of RGB-D Scans
J. Hou, A. Dai, and M. Nießner · 2019
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3D Graph Embedding Learning with a Structure-aware Loss Function for Point Cloud Semantic Instance Segmentation
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MASC: Multi-scale Affinity with Sparse Convolution for 3D Instance Segmentation
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PartNet: A Large-scale Benchmark for Fine-grained and Hierarchical Part-level 3D Object Understanding
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JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds with Multi-Task Pointwise Networks and Multi-Value Conditional Random Fields
Q.-H. Pham, D. T. Nguyen, B.-S. Hua, G. Roig, and S.-K. Yeung · 2019
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Deep Hough Voting for 3D Object Detection in Point Clouds
C. R. Qi, O. Litany, K. He, and L. J. Guibas · 2019
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PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud
S. Shi, X. Wang, and H. Li · 2019
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KPConv: Flexible and Deformable Convolution for Point Clouds
H. Thomas, C. R. Qi, J.-E. Deschaud, B. Marcotegui, F. Goulette, and L. J. Guibas · 2019
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Associatively Segmenting Instances and Semantics in Point Clouds
X. Wang, S. Liu, X. Shen, C. Shen, and J. Jia · 2019
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GSPN: Generative Shape Proposal Network for 3D Instance Segmentation in Point Cloud
L. Yi, W. Zhao, H. Wang, M. Sung, and L. Guibas · 2019
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