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

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

其他 2020-04-28 19:39:23 阅读次数: 0

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转载自www.cnblogs.com/hao-lingguang19/p/12796509.html

【三维目标检测】VoteNet：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

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

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

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

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

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

三维点云语义分割【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

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

VoteNet 的 Hough voting 是怎么产生的

CVPR2020论文解读：3D Object Detection三维目标检测

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

【论文阅读】【三维目标检测】3DSSD: Point-based 3D Single Stage Object Detector

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

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

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

【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: Generating 3D Adversarial Point Clouds 生成三维对抗点云数据

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

【ICCV 2023】3DPPE: 3D Point Positional Encoding for Multi-Camera 3D Object Detection Transformers

VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection(VoxelNet模型)

PIXOR: Real-time 3D Object Detection from Point

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

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

【论文阅读】【三维目标检测】Object as Hotspots: An Anchor-Free 3D Object Detection Approach via Firing of Hotspots

3D Object Detection 3D目标检测综述

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