Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

awesome-point-cloud-papers-code-latest

[CVPR - Net: Robust Point Matching using Learned Features. [[Code](https://lnkd.in/gxTYTjw)]
[CVPR - Ensembling Semi-Supervised 3D Object Detection. [[Code]( https://lnkd.in/gHjZkhY)][[Video](https://lnkd.in/gDg72zc)]
[CVPR
[CVPR
[Arxiv - training for 3D Point Cloud Understanding
[Arxiv - based Object Detection for Autonomous Driving [[Code](https://github.com/WangYueFt/pillar-od)]
[Arxiv
[Springer - supervised Representation Learning for 3D Point Clouds
[Arxiv - BoNet)]
[Arxiv - supervised Representation Learning for 3D Point Clouds [[Code](https://github.com/mileyan/Pseudo_Lidar_V2)][[Review](https://openreview.net/forum?id=BJedHRVtPB)]
[Arxiv - bonnetal)]
[Arxiv - Object Tracking: A Baseline and New Evaluation Metrics [[Code](https://github.com/xinshuoweng/AB3DMOT)]
[Arxiv - based 3D Object Detection and Tracking [[Code](https://github.com/tianweiy/CenterPoint)]
[CVPR - GNN: Graph Neural Network for 3D Object Detection in a Point Cloud [[Code](https://github.com/WeijingShi/Point-GNN)]
[Arxiv - based 3D Single Stage Object Detector [[Code](https://github.com/Jia-Research-Lab/3DSSD)]
[Arxiv
[Arxiv - aware and Part-aggregation Network [[Code](https://github.com/open-mmlab/OpenPCDet)]
[Arxiv - RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection [[Code](https://github.com/open-mmlab/OpenPCDet)]
[Arxiv
[Springer
[Code
[Code
[Code
[Code
[Code
[Arxiv - offs for modern convolutional object detectors
[Link - point-cloud-analysis
[Link - point-cloud-analysis
[Link - point-cloud-analysis

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