{ "id": 108658, "title": "Starter papers for 3D Object Detection [PapersWithCode]", "url": "/competitions/3d-object-detection-for-autonomous-vehicles/discussion/108658", "author_name": "Ram Ramrakhya", "post_date": "2019-09-13T06:21:18.902000", "votes": 34, "comment_count": 2, "views": 0, "content": "

Here is the list few good papers that I am referring to for this contest.

\n\n
    \n

  1. Stereo R-CNN based 3D Object Detection for Autonomous Driving arXiv paperswithcode

    2. \n

  2. Frustum PointNets for 3D Object Detection from RGB-D Data arXiv paperswithcode

    3. \n

  3. VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection arXiv paperswithcode

    4. \n

  4. PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud arXiv paperswithcode

    5. \n

  5. Monocular 3D Object Detection with Pseudo-LiDAR Point Cloud arXiv paperswithcode

    6. \n
\n\n

Feel free to add new papers which would help us.

", "messages": [ { "id": 625499, "postDate": "2019-09-13T06:21:18.903Z", "content": "

Here is the list few good papers that I am referring to for this contest.

\n\n
    \n

  1. Stereo R-CNN based 3D Object Detection for Autonomous Driving arXiv paperswithcode

    2. \n

  2. Frustum PointNets for 3D Object Detection from RGB-D Data arXiv paperswithcode

    3. \n

  3. VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection arXiv paperswithcode

    4. \n

  4. PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud arXiv paperswithcode

    5. \n

  5. Monocular 3D Object Detection with Pseudo-LiDAR Point Cloud arXiv paperswithcode

    6. \n
\n\n

Feel free to add new papers which would help us.

", "rawMarkdown": "Here is the list few good papers that I am referring to for this contest.\n\n1. Stereo R-CNN based 3D Object Detection for Autonomous Driving [arXiv](https://arxiv.org/pdf/1902.09738v2.pdf) [paperswithcode](https://paperswithcode.com/paper/stereo-r-cnn-based-3d-object-detection-for)\n\n2. Frustum PointNets for 3D Object Detection from RGB-D Data [arXiv](https://arxiv.org/pdf/1711.08488v2.pdf) [paperswithcode](https://paperswithcode.com/paper/voxelnet-end-to-end-learning-for-point-cloud)\n\n3. VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection [arXiv](https://arxiv.org/pdf/1711.06396v1.pdf) [paperswithcode](https://paperswithcode.com/paper/frustum-pointnets-for-3d-object-detection)\n\n4. PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud [arXiv](https://arxiv.org/pdf/1812.04244v2.pdf) [paperswithcode](https://paperswithcode.com/paper/pointrcnn-3d-object-proposal-generation-and)\n\n5. Monocular 3D Object Detection with Pseudo-LiDAR Point Cloud [arXiv](https://arxiv.org/pdf/1903.09847v4.pdf) [paperswithcode](https://paperswithcode.com/paper/monocular-3d-object-detection-with-pseudo)\n\nFeel free to add new papers which would help us.", "votes": 33 }, { "id": 626438, "postDate": "2019-09-14T10:36:15.313Z", "content": "

you can find alot at kitti benchmark

", "rawMarkdown": "you can find alot at [kitti benchmark](http://www.cvlibs.net/datasets/kitti/eval_object.php?obj_benchmark=3d)", "votes": 2 }, { "id": 626689, "postDate": "2019-09-14T17:26:28.397Z", "rawMarkdown": "", "votes": -3, "isDeleted": true } ], "comments": [ { "id": 626438, "author_name": "Mariam Mohamed", "author_url": "", "post_date": "2019-09-14T10:36:15.313000", "content": "

you can find alot at kitti benchmark

", "votes": 2, "replies": [] }, { "id": 626689, "author_name": "", "author_url": "", "post_date": "2019-09-14T17:26:28.397000", "content": "", "votes": -3, "replies": [] } ], "raw_markdown_by_id": { "625499": "Here is the list few good papers that I am referring to for this contest.\n\n1. Stereo R-CNN based 3D Object Detection for Autonomous Driving [arXiv](https://arxiv.org/pdf/1902.09738v2.pdf) [paperswithcode](https://paperswithcode.com/paper/stereo-r-cnn-based-3d-object-detection-for)\n\n2. Frustum PointNets for 3D Object Detection from RGB-D Data [arXiv](https://arxiv.org/pdf/1711.08488v2.pdf) [paperswithcode](https://paperswithcode.com/paper/voxelnet-end-to-end-learning-for-point-cloud)\n\n3. VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection [arXiv](https://arxiv.org/pdf/1711.06396v1.pdf) [paperswithcode](https://paperswithcode.com/paper/frustum-pointnets-for-3d-object-detection)\n\n4. PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud [arXiv](https://arxiv.org/pdf/1812.04244v2.pdf) [paperswithcode](https://paperswithcode.com/paper/pointrcnn-3d-object-proposal-generation-and)\n\n5. Monocular 3D Object Detection with Pseudo-LiDAR Point Cloud [arXiv](https://arxiv.org/pdf/1903.09847v4.pdf) [paperswithcode](https://paperswithcode.com/paper/monocular-3d-object-detection-with-pseudo)\n\nFeel free to add new papers which would help us.", "626438": "you can find alot at [kitti benchmark](http://www.cvlibs.net/datasets/kitti/eval_object.php?obj_benchmark=3d)", "626689": "" } }