【2021】PnP-3D: A Plug-and-Play for 3D Point Clouds - 代码天地

【2021】PnP-3D: A Plug-and-Play for 3D Point Clouds

企业开发 2022-05-24 20:38:38 阅读次数: 0

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转载自blog.csdn.net/weixin_43154149/article/details/124846455

【2021】PnP-3D: A Plug-and-Play for 3D Point Clouds

【1811.07246】PointConv: Deep Convolutional Networks on 3D Point Clouds

Deep Learning for 3D Point Clouds: A Survey

【论文简述】Occlusion Guided Scene Flow Estimation on 3D Point Clouds（CVPR 2021）

读论文：Real-time Object Classification in 3D Point Clouds Using Point Feature Histograms

Point Attention Network for Semantic Segmentation of 3D Point Clouds 论文解析

论文笔记Point·E: A System for Generating 3D Point Clouds from Complex Prompts

文章解读 -- FlowNet3D：Learning Scene Flow in 3D Point Clouds

CVPR 2020——Learning to Segment 3D Point Clouds in 2D Image Space

【CVPR2022 点云3D检测SOTA】SoftGroup for 3D Instance Segmentation on Point Clouds

SegMatch: Segment based loop-closure for 3D point clouds

三维点云语义分割【综述】 ——Deep Learning for 3D Point Clouds: A Survey

三维目标检测论文：Deep Hough Voting for 3D Object Detection in Point Clouds

Literature Review: Incremental Segment-Based Localization in 3D Point Clouds

Modeling Local Geometric Structure of 3D Point Clouds using Geo-CNN 速记

Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds 笔记

【三维目标检测】VoteNet：Deep Hough Voting for 3D Object Detection in Point Clouds

CVPR 2019——Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds

CVPR 2019——PointConv: Deep Convolutional Networks on 3D Point Clouds

Fast Segmentation of 3D Point Clouds: A Paradigm on LiDAR Data for Autonomous Vehicle Applications阅读

【论文阅读】【综述】Deep Learning for 3D Point Clouds: A Survey

Fast Segmentation of 3D Point Clouds for Ground Vehicles 文章解读

【CVPR 2018】Learning Representations and Generative Models for 3D Point Clouds

【IJCV 2022】RIConv++: Effective Rotation Invariant Convolutions for 3D Point Clouds Deep Learning

【2202.02543】ConClu：Unsupervised Learning on 3D Point Clouds by Clustering and Contrasting

Fast and Accurate Ground Plane Detection for the Visually Impaired from 3D Organized Point Clouds

阅读笔记 Deep Hough Voting for 3D Object Detection in Point Clouds

【论文笔记】PillarNeXt: Rethinking Network Designs for 3D Object Detection in LiDAR Point Clouds

【读论文】PointConv: Deep Convolutional Networks on 3D Point Clouds

点云 3D 天气数据增强 - Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in ... (ICCV 2021)

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