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An Open-source Codebase for exploring Continuous-learning/Pre-training-oriented Autonomous Driving Task
Official implementation for the paper "Attentive Prototypes for Source-free Unsupervised Domain Adaptive 3D Object Detection"
Behind the Curtain: Learning Occluded Shapes for 3D Object Detection
This repository is for CL3D: Unsupervised Domain Adaptation for Cross-LiDAR 3D Detection.
[CVPR2023 Highlight] Consistent-Teacher: Towards Reducing Inconsistent Pseudo-targets in Semi-supervised Object Detection
Image-to-Image Translation in PyTorch
This may be the simplest implement of DDPM. You can directly run Main.py to train the UNet on CIFAR-10 dataset and see the amazing process of denoising.
Code for "Density-Insensitive Unsupervised Domain Adaption on 3D Object Detection"
[CVPR 2024] Official implementation of "Towards Realistic Scene Generation with LiDAR Diffusion Models"
[ECCV 2022] LiDAR Distillation: Bridging the Beam-Induced Domain Gap for 3D Object Detection
💫 [CVPR 2024] LiDAR4D: Dynamic Neural Fields for Novel Space-time View LiDAR Synthesis
Implementation of "Unsupervised Domain Adaptive 3D Detection with Multi-Level Consistency"
OpenMMLab Detection Toolbox and Benchmark
OpenMMLab's next-generation platform for general 3D object detection.
OpenMMLab Foundational Library for Training Deep Learning Models
Auto-labeling of point cloud sequences for 3D object detection using an ensemble of experts and temporal refinement
neuralsim: 3D surface reconstruction and simulation based on 3D neural rendering.
OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
OpenPCSeg: Open Source Point Cloud Segmentation Toolbox and Benchmark
Pointcept: a codebase for point cloud perception research. Latest works: PTv3 (CVPR'24), PPT (CVPR'24), MSC (CVPR'23), PTv2 (NeurIPS'22)
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
Efficient Point-based 3D Semantic Occupancy Prediction
LiDAR Data Synthesis with Denoising Diffusion Probabilistic Models (ICRA 2024)
[ICCV 2023] Revisiting Domain-Adaptive 3D Object Detection by Reliable, Diverse and Class-balanced Pseudo-Labeling
Official Implementation of Self-Supervised Street Gaussians for Autonomous Driving
(ICRA 2023) Viewer-Centred Surface Completion for Unsupervised Domain Adaptation in 3D Object Detection
The official implementation for "Spherical Transformer for LiDAR-based 3D Recognition" (CVPR 2023).
Codes for “Fully Sparse 3D Object Detection” & “Embracing Single Stride 3D Object Detector with Sparse Transformer”
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.