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3d-pointcloud

Papers and Datasets about Point Cloud.

awesome-3d-da

A curated list of awesome 3D domain adaptation resources

calib3d

Calib3D: Calibrating Model Preferences for Reliable 3D Scene Understanding

conda

[ICRA 2023] ConDA: Unsupervised Domain Adaptation for LiDAR Segmentation via Regularized Domain Concatenation

cs4243_lab

det3d

A general 3D object detection codebse.

detectron2

Detectron2 is FAIR's next-generation platform for object detection and segmentation.

dlwpt-code

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

frnet

FRNet: Frustum-Range Networks for Scalable LiDAR Segmentation

lasermix

[CVPR 2023 Highlight] LaserMix for Semi-Supervised LiDAR Semantic Segmentation

ldkong1205

lidar-bonnetal

Semantic and Instance Segmentation of LiDAR point clouds for autonomous driving

markdown

Markdown 基本语法。

mca

[TNNLS'21] Mutual-Collision-Avoidance Scheme Synthesized by Neural Networks for Dual Redundant Robot Manipulators Executing Cooperative Tasks

mmdetection3d

OpenMMLab's next-generation platform for general 3D object detection.

ntu-graduate-courses

Graduate-Level Courses (Electrical Engineering & Computer Science) at NTU, Singapore

numerical-planning

[ROBIO’18] Comparisons among Six Numerical Methods for Solving Repetitive Motion Planning of Redundant Robot Manipulators

open3d-ml

An extension of Open3D to address 3D Machine Learning tasks

openess

[CVPR 2024 Highlight] OpenESS: Event-Based Semantic Scene Understanding with Open Vocabularies

pdv

Point Density-Aware Voxels for LiDAR 3D Object Detection (CVPR 2022)

pixelssl

A PyTorch-based Semi-Supervised Learning (SSL) Codebase for Pixel-wise (Pixel) Vision Tasks [ECCV 2020]

pointcloud-c

Benchmarking and Analyzing Point Cloud Perception Robustness under Corruptions

pytorch-cnn-visualizations

Pytorch implementation of convolutional neural network visualization techniques

pytorch-deep-learning

Deep Learning (with PyTorch)

robo3d

[ICCV 2023] Robo3D: Towards Robust and Reliable 3D Perception against Corruptions

robobev

RoboBEV: Robust Bird's Eye View Detection under Corruptions

robodepth

[NeurIPS 2023] RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions

segment-any-point-cloud-1

Segment Any Point Cloud Sequences by Distilling Vision Foundation Models

segment-everything-everywhere-all-at-once

[NeurIPS 2023] Official implementation of the paper "Segment Everything Everywhere All at Once"

simplebaseline

[ICCV 2021] A Simple Baseline for Semi-supervised Semantic Segmentation with Strong Data Augmentation