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Models/BoxNet

BoxNet

Reported on 10 benchmarks across 5 tasks · 1 paper · 5 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Methodology8 results

  • 3DonKITTI-360
    AP50· 2019-04-21
    4.08
    best: 4.64 (SeaBird + PanopticBEV)
    SOTA
    Deep Hough Voting for 3D Object Detection in Point CloudsarXiv:1904.09664
  • 2D ClassificationonKITTI-360
    AP50· 2019-04-21
    4.08
    best: 4.64 (SeaBird + PanopticBEV)
    SOTA
    Deep Hough Voting for 3D Object Detection in Point CloudsarXiv:1904.09664
  • 2D Object DetectiononKITTI-360
    AP50· 2019-04-21
    4.08
    best: 4.64 (SeaBird + PanopticBEV)
    SOTA
    Deep Hough Voting for 3D Object Detection in Point CloudsarXiv:1904.09664
  • 16konKITTI-360
    AP50· 2019-04-21
    4.08
    best: 4.64 (SeaBird + PanopticBEV)
    SOTA
    Deep Hough Voting for 3D Object Detection in Point CloudsarXiv:1904.09664
  • 3DonKITTI-360
    AP25· 2019-04-21
    23.59
    best: 39.76 (MonoDTR)
    Deep Hough Voting for 3D Object Detection in Point CloudsarXiv:1904.09664
  • 2D ClassificationonKITTI-360
    AP25· 2019-04-21
    23.59
    best: 39.76 (MonoDTR)
    Deep Hough Voting for 3D Object Detection in Point CloudsarXiv:1904.09664
  • 2D Object DetectiononKITTI-360
    AP25· 2019-04-21
    23.59
    best: 39.76 (MonoDTR)
    Deep Hough Voting for 3D Object Detection in Point CloudsarXiv:1904.09664
  • 16konKITTI-360
    AP25· 2019-04-21
    23.59
    best: 39.76 (MonoDTR)
    Deep Hough Voting for 3D Object Detection in Point CloudsarXiv:1904.09664

Computer Vision2 results

  • Object DetectiononKITTI-360
    AP50· 2019-04-21
    4.08
    best: 4.64 (SeaBird + PanopticBEV)
    SOTA
    Deep Hough Voting for 3D Object Detection in Point CloudsarXiv:1904.09664
  • Object DetectiononKITTI-360
    AP25· 2019-04-21
    23.59
    best: 39.76 (MonoDTR)
    Deep Hough Voting for 3D Object Detection in Point CloudsarXiv:1904.09664