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2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point Clouds (ECCV 2022) :fire:
Pytorch Implementation for the project : `3D-CODED` and `Learning Elementary Structure`
Code & Models for 3DETR - an End-to-end transformer model for 3D object detection
Anti-Adversarially Manipulated Attributions for Weakly and Semi-Supervised Semantic Segmentation (CVPR 2021)
Semantic Segmentation for Real Point Cloud Scenes via Bilateral Augmentation and Adaptive Fusion (CVPR 2021)
BSNet: Box-Supervised Simulation-assisted Mean Teacher for 3D Instance Segmentation (CVPR2024)
[IROS 2021] BundleTrack: 6D Pose Tracking for Novel Objects without Instance or Category-Level 3D Models
Official implementation of "CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding" (CVPR, 2022)
This is the unofficial code of Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes. which achieve state-of-the-art trade-off between accuracy and speed on cityscapes and camvid, without using inference acceleration and extra data
Official implementation for ECCV 2022 paper "3D Instances as 1D Kernels".
DN-4DGS: Denoised Deformable Network with Temporal-Spatial Aggregation for Dynamic Scene Rendering
FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection
[ECCV2022] Gen6D: Generalizable Model-Free 6-DoF Object Pose Estimation from RGB Images
Mask3D predicts accurate 3D semantic instances achieving state-of-the-art on ScanNet, ScanNet200, S3DIS and STPLS3D.
Official implementation of the paper "Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation"
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
CVPR 2021 https://arxiv.org/abs/2104.02246
ONNX-TensorRT: TensorRT backend for ONNX
An implementation of Performer, a linear attention-based transformer, in Pytorch
[CVPR 2022] Pre-Training 3D Point Cloud Transformers with Masked Point Modeling
A PyTorch implementation of simple Mask R-CNN
Scribble-Supervised LiDAR Semantic Segmentation
π₯Urban-scale point cloud dataset (CVPR 2021 & IJCV 2022)
An efficient 3D semantic segmentation framework for Urban-scale point clouds like SensatUrban, Campus3D, etc.
The 2nd solution (68.1 mIoU) for 1st Urban3D challenge.
[CVPR 2022 Oral] SoftGroup for Instance Segmentation on 3D Point Clouds
Stratified Transformer for 3D Point Cloud Segmentation (CVPR 2022)
Official PyTorch implementation of Superpoint Transformer introduced in "Efficient 3D Semantic Segmentation with Superpoint Transformer"
A declarative, efficient, and flexible JavaScript library for building user interfaces.
π 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. πππ
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 β€οΈ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.