[3D Detection Series-PointRCNN] Reproduce the PointRCNN code and realize PointRCNN 3D target detection visualization, including pre-training weight download links (starting from 0 and various error solutions) - Code World

[3D Detection Series-PointRCNN] Reproduce the PointRCNN code and realize PointRCNN 3D target detection visualization, including pre-training weight download links (starting from 0 and various error solutions)

Enterprise 2023-10-01 04:43:30 views: null

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Origin blog.csdn.net/Callme_TeacherPi/article/details/125963061

[3D Detection Series-PointRCNN] Reproduce the PointRCNN code and realize PointRCNN 3D target detection visualization, including pre-training weight download links (starting from 0 and various error solutions)

[3D Detection Series-PV-RCNN] Detailed explanation of PV-RCNN paper, PV-RCNN code reproduction, including official website PV-RCNN pre-training weights and error reporting issues

3D target detection overview and VoxelNet papers and code interpretation (0) --Pillarization

[Серия 3D-обнаружения-PointRCNN] Воспроизведите код PointRCNN и реализуйте 3D-визуализацию обнаружения целей PointRCNN, включая ссылки для загрузки веса перед тренировкой (начиная с 0 и различные решения ошибок)

[3D target detection] sparse convolution

[3D target detection] VoteNet (2)

[3D target detection] VoteNet (1)

[3D target detection] CenterPoint (2)

Basic knowledge of 3D target detection

Introduction of kitti dataset in 3D target detection (2) Detailed visualization

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[3D point cloud] Target detection summary (continuous summary)

CenterPoint of Laser Point Cloud 3D Target Detection Algorithm

(1) KITTI dataset for 3D target detection

A review of research on 3D target detection methods

[Série de detecção 3D-PointRCNN] Reproduza o código PointRCNN e realize a visualização de detecção de alvo 3D PointRCNN, incluindo links de download de peso pré-treinamento (a partir de 0 e várias soluções de erro)

PlaneRCNN: 3D Plane Detection and Reconstruction from a Single Image

LATR：3D Lane Detection from Monocular Images with Transformer

3D Collision Detection

Ubuntu20.04+cuda11.1+yolo3 The target detection deep learning system is really built from 0 and contains various errors that may be encountered

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3D target detection paper reading: BEVFusion4D

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CVPR2020 paper describes: 3D target detection algorithms efficiently

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AI Day live sharing | DynStatF: Efficient feature fusion strategy for lidar 3D target detection!

SASSD Algorithm Based on Point Cloud: 3D Scene Analysis and Target Detection

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