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Models/MEGVII

MEGVII

Reported on 6 benchmarks across 6 tasks · 1 paper · 6 SOTA

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

Methodology4 results

  • 3DonnuScenes
    mAP· 2019-08-26
    0.528
    best: 45.1 (LabelDistill)
    SOTA
    Class-balanced Grouping and Sampling for Point Cloud 3D Object DetectionarXiv:1908.09492
  • 2D ClassificationonnuScenes
    mAP· 2019-08-26
    0.528
    best: 45.1 (LabelDistill)
    SOTA
    Class-balanced Grouping and Sampling for Point Cloud 3D Object DetectionarXiv:1908.09492
  • 2D Object DetectiononnuScenes
    mAP· 2019-08-26
    0.528
    best: 45.1 (LabelDistill)
    SOTA
    Class-balanced Grouping and Sampling for Point Cloud 3D Object DetectionarXiv:1908.09492
  • 16konnuScenes
    mAP· 2019-08-26
    0.528
    best: 45.1 (LabelDistill)
    SOTA
    Class-balanced Grouping and Sampling for Point Cloud 3D Object DetectionarXiv:1908.09492

Computer Vision2 results

  • Object DetectiononnuScenes
    mAP· 2019-08-26
    0.528
    best: 45.1 (LabelDistill)
    SOTA
    Class-balanced Grouping and Sampling for Point Cloud 3D Object DetectionarXiv:1908.09492
  • 3D Object DetectiononnuScenes
    mAP· 2019-08-26
    0.528
    best: 45.1 (LabelDistill)
    SOTA
    Class-balanced Grouping and Sampling for Point Cloud 3D Object DetectionarXiv:1908.09492