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2dpass

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

3d-coded

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

3detr

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

advcam

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

baaf-net

Semantic Segmentation for Real Point Cloud Scenes via Bilateral Augmentation and Adaptive Fusion (CVPR 2021)

bsnet

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

bundletrack

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

crosspoint

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

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

dknet

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

dpc

fcaf3d

FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection

gen6d

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

kitti_vision

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"

maskrcnn-benchmark

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

one-thing-one-click

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

onnx-tensorrt

ONNX-TensorRT: TensorRT backend for ONNX

performer-pytorch

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

point-bert

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

pytorch-simple-maskrcnn

A PyTorch implementation of simple Mask R-CNN

scribblekitti

Scribble-Supervised LiDAR Semantic Segmentation

sensaturban

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

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.

softgroup

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

stratified-transformer

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

superpoint_transformer

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

unilm

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