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Search results for semantic segmentation point cloud

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33 search results found

Semantic Segmentation Editor ⭐ 1,576

Web labeling tool for bitmap images and point clouds

Superpoint_graph ⭐ 691

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

Cylinder3d ⭐ 670

Rank 1st in the leaderboard of SemanticKITTI semantic segmentation (both single-scan and multi-scan) (Nov. 2020) (CVPR2021 Oral)

Stratified Transformer ⭐ 290

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

Superpoint_transformer ⭐ 276

[ICCV'23] Official PyTorch implementation of Superpoint Transformer introduced in "Efficient 3D Semantic Segmentation with Superpoint Transformer"

Associatively Segmenting Instances and Semantics in Point Clouds, CVPR 2019

Deepviewagg ⭐ 195

[CVPR'22 Best Paper Finalist] Official PyTorch implementation of the method presented in "Learning Multi-View Aggregation In the Wild for Large-Scale 3D Semantic Segmentation"

Mix3D: Out-of-Context Data Augmentation for 3D Scenes (3DV 2021 Oral)

Semantic3dnet ⭐ 178

Point cloud semantic segmentation via Deep 3D Convolutional Neural Network

Stpls3d ⭐ 144

🔥 Synthetic and real-world 2d/3d dataset for semantic and instance segmentation (BMVC 2022 Oral)

FPConv: Learning Local Flattening for Point Convolution, CVPR 2020

Synlidar ⭐ 102

SynLiDAR: Synthetic LiDAR sequential point cloud dataset with point-wise annotations (AAAI2022)

Urban_pointcloud_processing ⭐ 98

Repository for automatic classification and labeling of Urban PointClouds using data fusion and region growing techniques.

Fully Convolutional Point Network ⭐ 73

Fully-Convolutional Point Networks for Large-Scale Point Clouds

Pytorch_semantic_segmentation ⭐ 73

Implement some models of RGB/RGBD semantic segmentation in PyTorch, easy to run. Such as FCN, RefineNet, PSPNet, RDFNet, 3DGNN, PointNet, DeepLab V3, DeepLab V3 plus, DenseASPP, FastFCN

Openpointclass ⭐ 72

Fast and memory efficient semantic segmentation of 3D point clouds. Runs on Windows, Mac and Linux.

3d Semantic Segmentation ⭐ 69

This work is based on our paper Exploring Spatial Context for 3D Semantic Segmentation of Point Clouds, which is appeared at the IEEE International Conference on Computer Vision (ICCV) 2017, 3DRMS Workshop.

Pointnet2_semantic ⭐ 55

A pointnet++ fork, with focus on semantic segmentation of differents datasets

SCF-Net: Learning Spatial Contextual Features for Large-Scale Point Cloud Segmentation (CVPR2021)

Code for the paper: Exploiting Local and Global Structure for Point Cloud Semantic Segmentation with Contextual Point Representations

🍀 Official pytorch implementation of "ReDAL: Region-based and Diversity-aware Active Learning for Point Cloud Semantic Segmentation. Wu et al. ICCV 2021."

Coarse3d ⭐ 35

COARSE3D: Class-Prototypes for Contrastive Learning in Weakly-Supervised 3D Point Cloud Segmentation (BMVC 2022)

Pixano Elements ⭐ 33

Pixano Elements - Re-usable web components dedicated to data annotation tasks.

Dynamic Gcnn ⭐ 32

Dynamic Graph Convolutional Neural Network for 3D point cloud semantic segmentation

Pixano App ⭐ 24

Pixano App is a web-based smart-annotation tool for computer vision applications.

(CVPR 2023) MarS3D: A Plug-and-Play Motion-Aware Model for Semantic Segmentation on Multi-Scan 3D Point Clouds

Segments Ai ⭐ 20

Segments.ai Python SDK

Urban3d 2021 2nd ⭐ 20

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

Convpoint_keras ⭐ 18

ConvPoint architecture implemented with Tensorflow Keras

Graduation Project: A point cloud semantic segmentation and VIO based 3D reconstruction method using RGB-D and IMU

Semaffinet ⭐ 17

[CVPR 2022] SemAffiNet: Semantic-Affine Transformation for Point Cloud Segmentation

[TMLR 2022] Geometric Flow Network for 3D Point Cloud Semantic Segmentation

Pclsegmentation ⭐ 14

Tensorflow 2.9 Pipeline for Semantic Point Cloud Segmentation with SqueezeSeqV2, Darknet21 and Darknet53.

3d Semantic Segmentation For Scene Parsing ⭐ 13

A new approach for the real time 3D semantic segmentation based on feature abstract and deep learning method

TGNet: Geometric Graph CNN on 3-D Point Cloud Segmentation

Morton Net ⭐ 9

PyTorch implementation to train MortonNet and use it to compute point features. MortonNet is trained in a self-supervised fashion, and the features can be used for general tasks like part or semantic segmentation of point clouds.

Learning Local Displacements for Point Cloud Completion - CVPR 2022

Ground Aware Seg ⭐ 7

Ground-Aware Point Cloud Semantic Segmentation for Autonomous Driving. ACM Multimedia 2019.

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1-33 of 33 search results

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