595 Open source projects that are alternatives of or similar to Gacnet

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

3D Graph Neural Networks for RGBD Semantic Segmentation

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

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

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

Grid-GCN for Fast and Scalable Point Cloud Learning

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

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

TF2 implementation of PointNet for segmenting point clouds

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）

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

Pytorch framework for doing deep learning on point clouds.

Keras implementation for Pointnet

Pytorch framework for doing deep learning on point clouds.

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

Papers and Datasets about Point Cloud.

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

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

Pointwise Rotation-Invariant Network (AAAI 2020)

Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation (http://fcn.berkeleyvision.org)

🎨 🎨 深度学习 卷积神经网络教程 ：图像识别，目标检测，语义分割，实例分割，人脸识别，神经风格转换，GAN等🎨🎨 https://dataxujing.github.io/CNN-paper2/

📚 The list of vision-based SLAM / Visual Odometry open source, blogs, and papers

3D Heritage Online Presenter

PyTorch Implementation of QuickNAT and Bayesian QuickNAT, a fast brain MRI segmentation framework with segmentation Quality control using structure-wise uncertainty

Hand detection software built with OpenCV.

Tensorflow Implementation of Pixel Transposed Convolutional Networks (PixelTCN and PixelTCL)

Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers

Sample implementation of an application using KinectFusionLib

Unsupervised instance segmentation via active robot interaction

KiTS19——2019 Kidney Tumor Segmentation Challenge

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

Accompanying library for the Record3D iOS app (https://record3d.app/). Allows you to receive RGBD stream from iOS devices with TrueDepth camera(s).

Deep Hough Voting for 3D Object Detection in Point Clouds

DeepSeg : 4th place(top3%) solution for Retinal Edema Segmentation Challenge in 2018 AI challenger

Fully automatic brain tumour segmentation using Deep 3-D convolutional neural networks

CNNs for semantic segmentation using Keras library

[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy

Fast and robust algorithm to extract edges in unorganized point clouds

Frustum PointNets for 3D Object Detection from RGB-D Data

3DUNet implemented with pytorch

Tensorflow 2 implementation of complete pipeline for multiclass image semantic segmentation using UNet, SegNet and FCN32 architectures on Cambridge-driving Labeled Video Database (CamVid) dataset.

CRF-RNN PyTorch version http://crfasrnn.torr.vision

Tensorflow implementation : U-net and FCN with global convolution

DH3D: Deep Hierarchical 3D Descriptors for Robust Large-Scale 6DOF Relocalization

Patch-based 3D U-Net for brain tumor segmentation

Pytorch Implementation of retinal OCT Layer Segmentation (with trained models)

PyTorch Implementation of some RGBD Semantic Segmentation models.

An Implementation of Fully Convolutional Networks in Tensorflow.

The U-Net Segmentation plugin for Fiji (ImageJ)

Project for segmentation of blood vessels, microaneurysm and hardexudates in fundus images.

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

Weakly Supervised 3D Object Detection from Point Clouds (VS3D), ACM MM 2020

3D Unet Equipped with Advanced Deep Learning Methods

Tensorflow implementation of the V-Net architecture for medical imaging segmentation.

End-to-end one-class instance segmentation based on U-Net architecture for Data Science Bowl 2018 in Kaggle

A small VEX raytracer for SideFX Houdini with photon mapping global illumination and full recursive reflections and refractions

A Laser-Camera Calibration Toolbox extending from that at http://www.cs.cmu.edu/~ranjith/lcct.html

PFENet: Prior Guided Feature Enrichment Network for Few-shot Segmentation (TPAMI).