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Implementation of the Multi-Task Multi-Sensor Fusion for 3D Object Detection paper by Uber

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Implementation of Multi-Task Multi-Sensor Fusion for 3D Object Detection

Introduction

This project is a pytorch implementation of Multi-Task Multi-Sensor Fusion for 3D Object Detection paper, which is a end-to-end network to predict 3D bounding boxes using LIDAR point cloud and images.

Citation

@InProceedings{Liang_2019_CVPR,
    author = {Liang, Ming and Yang, Bin and Chen, Yun and Hu, Rui and Urtasun, Raquel},
    title = {Multi-Task Multi-Sensor Fusion for 3D Object Detection},
    booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
    month = {June},
    year = {2019}
}

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Implementation of the Multi-Task Multi-Sensor Fusion for 3D Object Detection paper by Uber


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Language:Jupyter Notebook 99.0%Language:Python 1.0%