peoplelu

BSNet

BSNet: Box-Supervised Simulation-assisted Mean Teacher for 3D Instance Segmentation (CVPR2024)

superpoint_transformer

Official PyTorch implementation of Superpoint Transformer introduced in "Efficient 3D Semantic Segmentation with Superpoint Transformer"

Mask3D

Mask3D predicts accurate 3D semantic instances achieving state-of-the-art on ScanNet, ScanNet200, S3DIS and STPLS3D.

MaskDINO

Official implementation of the paper "Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation"

yolov7_mindspore

DPC

2DPASS

2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point Clouds (ECCV 2022) :fire:

Gen6D

[ECCV2022] Gen6D: Generalizable Model-Free 6-DoF Object Pose Estimation from RGB Images

DKNet

Official implementation for ECCV 2022 paper "3D Instances as 1D Kernels".

Stratified-Transformer

Stratified Transformer for 3D Point Cloud Segmentation (CVPR 2022)

SoftGroup

[CVPR 2022 Oral] SoftGroup for Instance Segmentation on 3D Point Clouds

3detr

Code & Models for 3DETR - an End-to-end transformer model for 3D object detection

BundleTrack

[IROS 2021] BundleTrack: 6D Pose Tracking for Novel Objects without Instance or Category-Level 3D Models

SensatUrban

🔥Urban-scale point cloud dataset (CVPR 2021 & IJCV 2022)

CrossPoint

Official implementation of "CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding" (CVPR, 2022)

Point-BERT

[CVPR 2022] Pre-Training 3D Point Cloud Transformers with Masked Point Modeling

scribblekitti

Scribble-Supervised LiDAR Semantic Segmentation

AdvCAM

Anti-Adversarially Manipulated Attributions for Weakly and Semi-Supervised Semantic Segmentation (CVPR 2021)

fcaf3d

FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection

maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

performer-pytorch

An implementation of Performer, a linear attention-based transformer, in Pytorch

One-Thing-One-Click

CVPR 2021 https://arxiv.org/abs/2104.02246

onnx-tensorrt

ONNX-TensorRT: TensorRT backend for ONNX

unilm

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

3D-CODED

Pytorch Implementation for the project : `3D-CODED` and `Learning Elementary Structure`

DDRNet.pytorch

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

PyTorch-Simple-MaskRCNN

A PyTorch implementation of simple Mask R-CNN

kitti_vision

SensatUrban-BEV-Seg3D

An efficient 3D semantic segmentation framework for Urban-scale point clouds like SensatUrban, Campus3D, etc.

SensatUrban_sol_tf

The 2nd solution (68.1 mIoU) for 1st Urban3D challenge.