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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Papers, code and datasets about deep learning for 3D Object Detection.
| Date | Stars |
|---|---|
| 2026-07-24 | 691 |
| 2026-07-25 | 691 |
| 2026-07-28 | 691 |
| 2026-07-30 | 691 |
| 2026-07-31 | 691 |
| 2026-08-06 | 692 |
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[]() [](https://GitHub.com/Naereen/ama) [](https://awesome.re) [](https://github.com/HuaizhengZhang/Awesome-System-for-Machine-Learning/blob/master/LICENSE) # Awesome-3D-Object-Detection A curated list of research in 3D Object Detection(**Lidar-based Method**). You are very welcome to pull request to update this list. :smiley:   ## Dataset - [KITTI Dataset](http://www.cvlibs.net/datasets/kitti/eval_object.php?obj_benchmark=3d) - 3,712 training samples - 3,769 validation samples - 7,518 testing samples - [nuScenes Dataset](https://www.nuscenes.org/) - 28k training samples - 6k validation samples - 6k testing samples - [Lyft Dataset](https://level-5.global/data/perception/) - [Waymo Open Dataset](https://waymo.com/open/download/) - 798 training sequences with around 158, 361 LiDAR samples - 202 validation sequences with 40, 077 LiDAR samples. ## Top conference & workshop ### Conferene - Conference on Computer Vision and Pattern Recognition(CVPR) - International Conference on Computer Vision(ICCV) - European Conference on Computer Vision(ECCV) ### Workshop - CVPR 2019 Workshop on Autonomous Driving([nuScenes 3D detection](http://cvpr2019.wad.vision/)) - CVPR 2020 Workshop on Autonomous Driving([BDD1k 3D tracking](http://cvpr2020.wad.vision/)) - CVPR 2021 Workshop on Autonomous Driving([waymo 3D detection](http://cvpr2021.wad.vision/)) - CVPR 2022 Workshop on Autonomous Driving([waymo 3D detection](http://cvpr2022.wad.vision/)) - [CVPR 2021 Workshop on 3D Vision and Robotics](https://sites.google.com/view/cvpr2021-3d-vision-robotics) - [CVPR 2021 Workshop on 3D Scene Understanding for Vision, Graphics, and Robotics](https://scene-understanding.com/) - [ICCV 2019 Workshop on Autonomous Driving](http://wad.ai/) - [ICCV 2021 Workshop on Autonomous Vehicle Vision (AVVision)](https://avvision.xyz/iccv21/), [note](https://openaccess.thecvf.com/content/ICCV2021W/AVVision/papers/Fan_Autonomous_Vehicle_Vision_2021_ICCV_Workshop_Summary_ICCVW_2021_paper.pdf) - [ICCV 2021 Workshop SSLAD Track 2 - 3D Object Detection](https://competitions.codalab.org/competitions/33236#learn_the_details) - [ECCV 2020 Workshop on Commands for Autonomous Vehicles](https://c4av-2020.github.io/) - [ECCV 2020 Workshop on Perception for Autonomous Driving](https://sites.google.com/view/pad2020) ## Paper (Lidar-based method) - End-to-End Multi-View Fusion for 3D Object Detection in LiDAR Point Clouds [paper](https://github.com/Tom-Hardy-3D-Vision-Workshop/awesome-3D-object-detection/blob/master) - Vehicle Detection from 3D Lidar Using Fully Convolutional Network(baidu) [paper](https://arxiv.org/abs/1608.07916) - VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection [paper](https://arxiv.org/pdf/1711.06396.pdf) - Object Detection and Classification in Occupancy Grid Maps using Deep Convolutional Networks [paper](https://arxiv.org/pdf/1805.08689.pdf) - RT3D: Real-Time 3-D Vehicle Detection in LiDAR Point Cloud for Autonomous Driving [paper](https://www.onacademic.com/detail/journal_1000040467923610_4dfe.html) - BirdNet: a 3D Object Detection Framework from LiDAR information [paper](https://arxiv.org/pdf/1805.01195.pdf) - LMNet: Real-time Multiclass Object Detection on CPU using 3D LiDAR [paper](https://arxiv.org/pdf/1805.04902.pdf) - HDNET: Exploit HD Maps for 3D Object Detection [paper](https://link.zhihu.com/?target=http%3A//proceedings.mlr.press/v87/yang18b/yang18b.pdf) - PointNet: Deep Learning on Point Sets
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matched fp:6bd685f4ce21f3d2, topic:computer-vision, topic:object-detection, readme:computer vision