{"id":13442176,"url":"https://github.com/qcraftai/pillarnext","last_synced_at":"2025-03-20T13:32:45.337Z","repository":{"id":174880851,"uuid":"636879680","full_name":"qcraftai/pillarnext","owner":"qcraftai","description":"PillarNeXt: Rethinking Network Designs for 3D Object Detection in LiDAR Point Clouds (CVPR 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PillarNeXt: Rethinking Network Designs for 3D Object Detection in LiDAR Point Clouds\n\n\n[Jinyu Li](https://konstantin5389.github.io/), [Chenxu Luo](https://chenxuluo.github.io/), [Xiaodong Yang](https://xiaodongyang.org/) \u003cbr\u003e\nPillarNeXt: Rethinking Network Designs for 3D Object Detection in LiDAR Point Clouds, CVPR 2023 \u003cbr\u003e\n[[Paper]](https://arxiv.org/pdf/2305.04925.pdf) [[Poster]](docs/poster.pdf) \n\n\u003cp align=\"left\"\u003e \n \u003cimg src='docs/teaser_figure.png' height=\"410px\"/\u003e \n\u003c/p\u003e\n\n## Get Started\n\n### Installation\nPlease refer to [INSTALL](docs/INSTALL.md) to set up environment and install dependencies (see detail in [Dockerfile](docker/Dockerfile)).\n\n### Data Preparation\nPlease follow the instructions in [DATA](docs/DATA.md). \n\n### Training and Evaluation \nPlease follow the instructions in [RUN](docs/RUN.md).\n\n\n## Main Results\n### nuScenes (Val)\n| Model |  mAP  |  NDS | Checkpoint\n| ------| -----| ---- | -------------|\n | PillarNeXt-B | 62.5 | 68.8\t| [[Google Drive]](https://drive.google.com/file/d/16abCgt-yhRGnYHQ7M259yGMO0IRYpZ8o/view?usp=drive_link) [[Baidu Cloud]](https://pan.baidu.com/s/1TRsjgN1ys5-mAxM70l4hog?pwd=7skt)\n\n### Waymo Open Dataset \n|Split | #Frames | Veh L2 3D APH | Ped L2 3D APH | Cyc L2 3D APH | \n| ---------| ---------|---------|---------|---------|\n| Val | 1 | 69.8 | 69.8 | 69.6 |\n| Val | 3 | 72.4 | 75.2 | 75.7 |\n| Test| 3 | 75.8 | 76.0 | 70.6 |\n\n\n## Citation\n Please cite the following paper if this repo helps your research:\n```\n@inproceedings{li2023pillarnext,\n  title={PillarNeXt: Rethinking Network Designs for 3D Object Detection in LiDAR Point Clouds},\n  author={Li, Jinyu and Luo, Chenxu and Yang, Xiaodong},\n  booktitle={IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},\n  year={2023}\n}\n```\n\n## Acknowledgement\nWe thank the authors for the multiple great open-sourced repos, including [Det3D](https://github.com/poodarchu/Det3D), [CenterPoint](https://github.com/tianweiy/CenterPoint) and [OpenPCDet](https://github.com/open-mmlab/OpenPCDet). \n\n## License\nCopyright (C) 2023 QCraft. All rights reserved. Licensed under the [CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode) (Attribution-NonCommercial-ShareAlike 4.0 International). The code is released for academic research use only. For commercial use, please contact [business@qcraft.ai](business@qcraft.ai).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fqcraftai%2Fpillarnext","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fqcraftai%2Fpillarnext","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fqcraftai%2Fpillarnext/lists"}