Projects

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    SeaBird: Segmentation in Bird’s View with Dice Loss Improves Monocular 3D Detection of Large Objects

    Abhinav Kumar, Yuliang Guo, Xinyu Huang, Liu Ren and Xiaoming Liu

    Monocular 3D detectors achieve remarkable performance on cars and smaller objects. However, their performance drops on larger objects, leading to fatal accidents. Some attribute the failures to training data scarcity or receptive field requirements of large objects. In this paper, we highlight this understudied problem of generalization to large objects ...

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    Keywords: 3D Object Detection, Image Segmentation

Publications

2024

  • SeaBird: Segmentation in Bird's View with Dice Loss Improves Monocular 3D Detection of Large Objects
    Abhinav Kumar, Yuliang Guo, Xinyu Huang, Liu Ren, Xiaoming Liu
    In Proceeding of IEEE Computer Vision and Pattern Recognition (CVPR 2024), Seattle, WA, Jun. 2024
    Bibtex | PDF | arXiv | Supplemental | Project Webpage | Code
  • @inproceedings{ seabird-segmentation-in-birds-view-with-dice-loss-improves-monocular-3d-detection-of-large-objects,
      author = { Abhinav Kumar and Yuliang Guo and Xinyu Huang and Liu Ren and Xiaoming Liu },
      title = { SeaBird: Segmentation in Bird's View with Dice Loss Improves Monocular 3D Detection of Large Objects },
      booktitle = { In Proceeding of IEEE Computer Vision and Pattern Recognition },
      address = { Seattle, WA },
      month = { June },
      year = { 2024 },
    }