PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
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Updated
Jun 23, 2018 - Python
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
Chainer implementation of PointNet, PointNet++, KD-Network and 3DContextNework
Caffe Re-implementation of "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" [Qi et al., CVPR 2017]
MSCV 2019 Capstone Project
Attentional-PointNet is Deep-Neural-Network architecture for 3D object detection in point clouds
This repository is a informal autoencoder version of the code implemented in https://github.com/corochann/chainer-pointnet.
Directional PointNet: 3D Environmental Classification for Wearable Robots
3D generative design with deep learning
Keras implementation for Pointnet
Reimplementation of PointNet in PyTorch for Point Cloud Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
Semantic 3D Object Detection, Project 2 for the Laboratory, Deep Learning for Autonomous Driving
Deep Hierarchical Encoder-Decoder with Point Atrous Convolution for Unorganized 3D Points
Grid-GCN for Fast and Scalable Point Cloud Learning
Research on adversarial attacks and defenses for deep neural network 3D point cloud classifiers like PointNet and PointNet++.
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