阅读笔记 Deep Hough Voting for 3D Object Detection in Point Clouds - 代码天地

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

其他 2023-08-11 17:56:23 阅读次数: 0

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转载自blog.csdn.net/qq_44114055/article/details/125237936

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

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

【三维目标检测】VoteNet：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

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

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

Deep Learning for 3D Point Clouds: A Survey

VoxelNet：End-to-End Learning for Point Cloud Based 3D Object Detection阅读笔记

2020-ImVoteNet: Boosting 3D Object Detection in Point Clouds with Image Votes-结合图像投票提升点云3D检测

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

【论文阅读】[CVPR 2019] PointConv： Deep Convolutional Networks on 3D Point Clouds. [cls. seg.]

论文阅读：EPNet: Enhancing Point Features with ImageSemantics for 3D Object Detection

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

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

多模态融合 2022|DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection阅读笔记

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

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

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

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

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

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

【论文阅读】【三维目标检测】Structure Aware Single-stage 3D Object Detection from Point Cloud

Deep Convolutional Network Cascade for Facial Point Detection阅读笔记

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

点云补全综述 Comprehensive Review of Deep Learning-Based 3D Point Clouds Completion Processing and Analys

论文解读--PointPillars- Fast Encoders for Object Detection from Point Clouds

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

Deep Learning for 3D Point Clouds: A Survey - 3D点云的深度学习：一项调查 (IEEE TPAMI 2020)

阅读笔记 PointNet: Deep Learning on Point Sets for 3D Classiﬁcation and Segmentation

论文阅读：PointPainting: Sequential Fusion for 3D Object Detection

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