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Name: NNU-GISA
Type: User
Company: Nanjing Normal University
Location: Nanjing
Name: NNU-GISA
Type: User
Company: Nanjing Normal University
Location: Nanjing
VKITTI3D semantic segmentation using PointNet
Point cloud classification and segmentation based on pointnet and textcnn
Combination of Pointnet and Pointnet++ with KITTI Point Cloud Semantic Segmentation Dataset
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
A clean PointNet++ segmentation model implementation
PointNet++ implementation practice on ModelNet/Sanford3D in PyTorch 1.2.0
PointNet++ Scene Segmentation on VKITTI3D and S3DIS Datasets
We added codes for S3DIS dataset and multiple gpu version training codes in PointNet++.
A faster implementation of PointNet++ based on PyTorch.
PointNet++ Semantic Segmentation on ScanNet in PyTorch with CUDA acceleration
PyTorch implementation of Pointnet2/Pointnet++
A pointnet++ fork, with focus on semantic segmentation of differents datasets
Pytorch implementation for pointnet1 + pointnet2(pointnet++).
PointNet在Alibaba自动驾驶数据集上的实现
pointnet_kitti
PointNet and PointNet++ implemented by pytorch (no tf_opt) and test on ModelNet, ShapeNet and S3DIS.
This is the pytorch implementation of PointNet on semantic segmentation task.
Visualize critical points and upper bound shape of pointnet.
Post processing for the result of PointNet semantic segmentation with CRF
CNTK C++ implementation of PointNet
PointNetGPD is an end-to-end grasp evaluation model to address the challenging problem of localizing robot grasp configurations directly from the point cloud.
This is the clean implementation of PointNetLK with pretrained models. (A 3D point cloud registration network)
PointNetVLAD: Deep Point Cloud Based Retrieval for Large-Scale Place Recognition, CVPR 2018
The PyTorch Implementation of PointRCNN for 3D Object Detection from Raw Point Cloud, CVPR 2019.
PointRCNN+Frustum Pointnet
PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud
PointRNN, PointGRU and PointLSTM.
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