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Title: GitHub - ModelBunker/PointNet-TensorFlow: PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

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Description: PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation - ModelBunker/PointNet-TensorFlow

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PointNet: Deep Learning on Point Sets for 3D Classification and Segmentationhttps://arxiv.org/abs/1612.00593
this repohttps://github.com/charlesq34/pointnet
https://patch-diff.githubusercontent.com/ModelBunker/PointNet-TensorFlow#pointnet-deep-learning-on-point-sets-for-3d-classification-and-segmentation
Charles R. Qihttp://charlesrqi.com
Hao Suhttp://ai.stanford.edu/~haosu/
Kaichun Mohttp://cs.stanford.edu/~kaichun/
Leonidas J. Guibashttp://geometry.stanford.edu/member/guibas/
https://github.com/charlesq34/pointnet/blob/master/doc/teaser.png
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PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Spacehttp://stanford.edu/~rqi/pointnet2/
Exploring Spatial Context for 3D Semantic Segmentation of Point Cloudshttp://openaccess.thecvf.com/content_ICCV_2017_workshops/papers/w13/Engelmann_Exploring_Spatial_Context_ICCV_2017_paper.pdf
PCPNET: Learning Local Shape Properties from Raw Point Cloudshttps://arxiv.org/abs/1710.04954
VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detectionhttps://arxiv.org/abs/1711.06396
Frustum PointNets for 3D Object Detection from RGB-D Datahttps://arxiv.org/abs/1711.08488
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