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Search results for deep learning lidar point cloud
deep-learning
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lidar-point-cloud
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18 search results found
2dpass
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282
2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point Clouds (ECCV 2022) 🔥
Machinelearning Ai
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184
This repository contains all the work that I regularly did and studied from Medium blogs, several research papers, and other Repos (related/unrelated to the research papers).
Deep Learning For Lidar Point Clouds
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134
Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review
Myria3d
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132
Myria3D: Aerial Lidar HD Semantic Segmentation with Deep Learning
Awesome Vision Transformer Collection
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81
Variants of Vision Transformer and its downstream tasks
Logg3d Net
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73
[ICRA 2022] The official repository for "LoGG3D-Net: Locally Guided Global Descriptor Learning for 3D Place Recognition", In 2022 International Conference on Robotics and Automation (ICRA), pp. 2215-2221.
Btcdet
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46
Behind the Curtain: Learning Occluded Shapes for 3D Object Detection
Lidar Guide
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41
LiDAR Guide
Lidar Annotation Is All You Need
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34
2D road segmentation using lidar data during training
Deeplio
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31
Deep Lidar Inertial Odometry
Denselidarnet
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29
Voxelnet_chainer
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26
VoxelNet implementation in Chainer
Incloud
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22
InCloud: Incremental Learning for Point Cloud Place Recognition IROS2022 https://arxiv.org/abs/2203.00807
Python For Remote Sensing
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15
python codes for remote sensing applications will be uploaded here. I will try to teach everything I learn during my projects in here.
Hybridpoint
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11
[ICME 2023, Oral]HybridPoint: Point cloud registration based on hybrid point sampling and matching
Egonn
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8
EgoNN: Egocentric Neural Network for Point Cloud Based 6DoF Relocalization at the City Scale
Point Planenet
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7
Point-PlaneNet: Plane kernel based convolutional neural network for point clouds analysis
Lidar Synthesis
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6
Official implementation of the ITSC 2023 paper "LiDAR View Synthesis for Robust Vehicle Navigation Without Expert Labels"
Minkloc3d Si
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5
MinkLoc3D-SI: 3D LiDAR place recognition with sparse convolutions,spherical coordinates, and intensity
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