580 Open source projects that are alternatives of or similar to Cylinder3d

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

A pointnet++ fork, with focus on semantic segmentation of differents datasets

Associatively Segmenting Instances and Semantics in Point Clouds, CVPR 2019

Mix3D: Out-of-Context Data Augmentation for 3D Scenes (3DV 2021 Oral)

FPConv: Learning Local Flattening for Point Convolution, CVPR 2020

Fully convolutional networks for semantic segmentation

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Research platform for 3D object detection in PyTorch.

An (re-)implementation of DeepLab v2 (ResNet-101) in TensorFlow for semantic image segmentation on the PASCAL VOC 2012 dataset.

PyTorch implementation of DeepLabv3

Implementation of the Point Transformer layer, in Pytorch

Point cloud semantic segmentation via Deep 3D Convolutional Neural Network

Papers and Datasets about Point Cloud.

Code for A GRAPH-CNN FOR 3D POINT CLOUD CLASSIFICATION (ICASSP 2018)

PyTorch-based modular, configuration-driven framework for knowledge distillation. 🏆18 methods including SOTA are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy.

Python bindings for the Point Cloud Library (PCL)

The open source mesh processing system

The PyTorch Implementation of F-ConvNet for 3D Object Detection

A high-performance neural network library for point cloud processing.

Using a U-Net for image segmentation, blending predicted patches smoothly is a must to please the human eye.

Paperlist of awesome 3D detection methods

Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks

Python binding of 3D visualization library Pangolin

An Official Repo of CVPR '20 "MSeg: A Composite Dataset for Multi-Domain Segmentation"

Chainer Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)

The repository contains source code and models to use PixelNet architecture used for various pixel-level tasks. More details can be accessed at <http://www.cs.cmu.edu/~aayushb/pixelNet/>.

Direct Graphical Models (DGM) C++ library, a cross-platform Conditional Random Fields library, which is optimized for parallel computing and includes modules for feature extraction, classification and visualization.

Satellite Image Classification using semantic segmentation methods in deep learning

Code for our ACMMM2020 paper "Context-aware Feature Generation for Zero-shot Semantic Segmentation".

L-CAS 3D Point Cloud Annotation Tool

The public CGAL repository, see the README below

3D Bounding Box Annotation Tool (3D-BAT) Point cloud and Image Labeling

Weakly-Supervised Semantic Segmentation Network with Deep Seeded Region Growing (CVPR 2018).

A hackable lidar viewer

Visualising LIDAR data from KITTI dataset.

Sandbox for training deep learning networks

ICNet and PSPNet-50 in Tensorflow for real-time semantic segmentation

Differentiable Surface Splatting

Differentiable Point Cloud Sampling (CVPR 2020 Oral)

[CVPR 2020] Semi-Supervised Semantic Segmentation with Cross-Consistency Training.

IJCAI2020 & IJCV 2020 🌇 Unsupervised Scene Adaptation with Memory Regularization in vivo

DBNet: A Large-Scale Dataset for Driving Behavior Learning, CVPR 2018

Simplest and fastest image and text annotation tool.

📸 PyTorch implementation of MobileNetV3 for real-time semantic segmentation, with pretrained weights & state-of-the-art performance

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

C++ library and programs for reading and writing ASPRS LAS format with LiDAR data

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

Morphing and Sampling Network for Dense Point Cloud Completion (AAAI2020)

The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919

DeepLab-LargeFOV implemented in tensorflow

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ROS package for the Perception (Sensor Processing, Detection, Tracking and Evaluation) of the KITTI Vision Benchmark Suite

An awesome semantic segmentation model that runs in real time

Implemention of FCN-8 and FCN-16 with Keras and uses CRF as post processing

Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-Supervision (CVPR 2020 Oral)

orb-slam2 with semantic label

Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving

An integrated SfM (Structure from Motion) and MVS (Multi-View Stereo) solution.

3D Graph Neural Networks for RGBD Semantic Segmentation