957 Open source projects that are alternatives of or similar to Point2Sequence

😎 Awesome LIDAR list. The list includes LIDAR manufacturers, datasets, point cloud-processing algorithms, point cloud frameworks and simulators.

A ground segmentation algorithm for 3D point clouds based on the work described in “Fast segmentation of 3D point clouds: a paradigm on LIDAR data for Autonomous Vehicle Applications”, D. Zermas, I. Izzat and N. Papanikolopoulos, 2017. Distinguish between road and non-road points. Road surface extraction. Plane fit ground filter

Baseline model for "GraspNet-1Billion: A Large-Scale Benchmark for General Object Grasping" (CVPR 2020)

Official Code for ICML 2021 paper "Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline"

[CVPR 2021] Few-shot 3D Point Cloud Semantic Segmentation

Official implementation of "Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis", ICCV 2021

Attention mechanism

No description or website provided.

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

Learning Video Representations from Correspondence Proposals (CVPR 2019 Oral)

Python Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deployment as a RESTful service on Kubernetes.

Official Python/PyTorch Implementation for "All-In-One Drive: A Large-Scale Comprehensive Perception Dataset with High-Density Long-Range Point Clouds"

MinkLoc++: Lidar and Monocular Image Fusion for Place Recognition

EC-GAN: Low-Sample Classification using Semi-Supervised Algorithms and GANs (AAAI 2021)

ETA: Extensible Toolkit for Analytics

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

This is a costmap plugin for costmap_2d pkg. This plugin supports multiple depth cameras and run in real time.

[CVPR 2021] Exploiting Edge-Oriented Reasoning for 3D Point-based Scene Graph Analysis (official pytorch implementation)

U-Time: A Fully Convolutional Network for Time Series Segmentation

MinkLoc3D: Point Cloud Based Large-Scale Place Recognition

[CVPR 2021] Scan2Cap: Context-aware Dense Captioning in RGB-D Scans

Deep-Learning Model Exploration and Development for NLP

CVPR 2020 papers focusing on point cloud analysis

iOS代码混淆插件；A plugin to confuse codes in iOS Platform.

[ECCV 2020] Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution

Scalable Time Series Data Analytics

Attention Gated VNet3D Model for KiTS19——2019 Kidney Tumor Segmentation Challenge

Caffe2 on iOS Real-time Demo. Test with Your Own Model and Photos.

Associatively Segmenting Instances and Semantics in Point Clouds, CVPR 2019

PyTorch*-based Neural Network Compression Framework for enhanced OpenVINO™ inference

[ICCV2021 Oral] Fooling LiDAR by Attacking GPS Trajectory

Transfer Learning Suite in Keras. Perform transfer learning using any built-in Keras image classification model easily!

Rank 1st in the leaderboard of SemanticKITTI semantic segmentation (both single-scan and multi-scan) (Nov. 2020) (CVPR2021 Oral)

A Complete and Simple Implementation of MobileNet-V2 in PyTorch

Code for NeurIPS 2019 Paper

BERT distillation（基于BERT的蒸馏实验 ）

LAMA - automatic model creation framework

HyperSeg - Official PyTorch Implementation

Implementing nlp papers relevant to classification with PyTorch, gluonnlp

The public CGAL repository, see the README below

Official Pytorch Implementation of: "Asymmetric Loss For Multi-Label Classification"(2020) paper

Use machine learning in AppInventor, with easy training using text, images, or numbers through the Machine Learning for Kids website.

Fake News Detection in Python

Differentiable Point Cloud Sampling (CVPR 2020 Oral)

Simple API for UCI Machine Learning Dataset Repository (search, download, analyze)

DeepI2P: Image-to-Point Cloud Registration via Deep Classification. CVPR 2021

PaddlePaddle to ONNX model converter

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

HMS ML Demo provides an example of integrating Huawei ML Kit service into applications. This example demonstrates how to integrate services provided by ML Kit, such as face detection, text recognition, image segmentation, asr, and tts.

MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20

Fast Plane Extraction Using Agglomerative Hierarchical Clustering (AHC)

Simple image augmentation library focusing on random geometric cropping

Brain extraction in presence of abnormalities, using single and multiple MRI modalities

PyTorch reimplementation for "PPF-FoldNet: Unsupervised Learning of Rotation Invariant 3D Local Descriptors" https://arxiv.org/abs/1808.10322

Specification for streaming massive heterogeneous 3D geospatial datasets 🌎

My Implementation of the deeplab_v1 (known as deeplab large fov)

Trescope is a comprehensive 3D machine learning development tool devoted to improve developing experience and speed in 3D field, which helps researchers and developers to label, debug, visualize various 3D data

Regularized Graph CNN for Point Cloud Segmentation

Brain vessel segmentation using 3D convolutional neural networks