1095 Open source projects that are alternatives of or similar to Grid Gcn

3D point cloud datasets in HDF5 format, containing uniformly sampled 2048 points per shape.

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-based Sequence to Sequence Network

A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)

PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling （CVPR 2020）

PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)

Papers and Datasets about Point Cloud.

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

Keras implementation for Pointnet

PyTorch Implementation of Stacked U-Nets (SUNets)

👉 CARLA resources such as tutorial, blog, code and etc https://github.com/carla-simulator/carla

Cut and paste augmentation for object detection and instance segmentation

3D Graph Neural Networks for RGBD Semantic Segmentation

Crop/Weed Field Image Dataset

Sandbox for training deep learning networks

TF2 implementation of PointNet for segmenting point clouds

OpenMMLab Model Compression Toolbox and Benchmark.

Second Project of the Udacity Self-Driving Car Nanodegree Program

This is an official implementation of our NeurIPS 2021 paper "HRFormer: High-Resolution Transformer for Dense Prediction".

ShellNet: Efficient Point Cloud Convolutional Neural Networks using Concentric Shells Statistics

基于Tensorflow2开发的优秀扩展包及项目

Pytorch framework for doing deep learning on point clouds.

Resurces for MRI images processing and deep learning in 3D

Behind the Curtain: Learning Occluded Shapes for 3D Object Detection

Semantic3D segmentation with Open3D and PointNet++

Image Test Time Augmentation with PyTorch!

PaddlePaddle End-to-End Development Toolkit（『飞桨』深度学习全流程开发工具）

Caffe models (including classification, detection and segmentation) and deploy files for famouse networks

Test Time Augmentation (TTA) wrapper for computer vision tasks: segmentation, classification, super-resolution, ... etc.

Generalized Data-free Universal Adversarial Perturbations

deep learning for image processing including classification and object-detection etc.

PAPC is a deep learning for point clouds platform based on pure PaddlePaddle

A lean C++ library for working with point cloud data

Pytorch framework for doing deep learning on point clouds.

Tensorflow implementation : U-net and FCN with global convolution

Classification and Segmentation with Mask-RCNN of Skin Cancer using ISIC dataset

A Python toolbox for computer vision research and project

A python tool for fitting primitives 3D shapes in point clouds using RANSAC algorithm

Superpixel-based semantic segmentation, with object pose estimation and tracking. Provided as a ROS package.

An open-source semi-automated processing chain for urban OBIA classification.

Real-time LIDAR-based Urban Road and Sidewalk detection for Autonomous Vehicles 🚗

Collection of computer vision models, ready to be included in a JVM project

天池医疗AI大赛[第一季]：肺部结节智能诊断 UNet/VGG/Inception/ResNet/DenseNet

Pytorch implementation of 'Graph Attention Convolution for Point Cloud Segmentation'

A collection of all projects pertaining to different layers in the SDC software stack

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

All-in-one Toolbox for Computer Vision Research.

🚕 Fast and robust clustering of point clouds generated with a Velodyne sensor.

All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN

A clean PointNet++ segmentation model implementation. Support batch of samples with different number of points.

《深度学习与计算机视觉》配套代码

Tooling for professional robotic development in C++ and Python with a touch of ROS, autonomous driving and aerospace.

Collections of model quantization algorithms

TensorFlow Implementation for Computing a Semantically Segmented Bird's Eye View (BEV) Image Given the Images of Multiple Vehicle-Mounted Cameras.

Deep neural network to extract intelligent information from invoice documents.

Machine Vision Toolbox for MATLAB

Source Code for KNN Matting, CVPR 2012 / TPAMI 2013. MATLAB code ready to run. Simple and robust implementation under 40 lines.

code/webpage for the DeepMapping project

Implement some models of RGB/RGBD semantic segmentation in PyTorch, easy to run. Such as FCN, RefineNet, PSPNet, RDFNet, 3DGNN, PointNet, DeepLab V3, DeepLab V3 plus, DenseASPP, FastFCN

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