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Models/RBGNet

RBGNet

Reported on 12 benchmarks across 6 tasks · 1 paper

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

Methodology8 results

  • 3DonScanNetV2
    mAP@0.25· 2022-04-05
    70.6
    best: 78.8 (DEST (based on V-DETR) (TTA))
    RBGNet: Ray-based Grouping for 3D Object DetectionarXiv:2204.02251
  • 3DonScanNetV2
    mAP@0.5· 2022-04-05
    55.2
    best: 67.9 (DEST (based on V-DETR) (TTA))
    RBGNet: Ray-based Grouping for 3D Object DetectionarXiv:2204.02251
  • 2D ClassificationonScanNetV2
    mAP@0.25· 2022-04-05
    70.6
    best: 78.8 (DEST (based on V-DETR) (TTA))
    RBGNet: Ray-based Grouping for 3D Object DetectionarXiv:2204.02251
  • 2D ClassificationonScanNetV2
    mAP@0.5· 2022-04-05
    55.2
    best: 67.9 (DEST (based on V-DETR) (TTA))
    RBGNet: Ray-based Grouping for 3D Object DetectionarXiv:2204.02251
  • 2D Object DetectiononScanNetV2
    mAP@0.25· 2022-04-05
    70.6
    best: 78.8 (DEST (based on V-DETR) (TTA))
    RBGNet: Ray-based Grouping for 3D Object DetectionarXiv:2204.02251
  • 2D Object DetectiononScanNetV2
    mAP@0.5· 2022-04-05
    55.2
    best: 67.9 (DEST (based on V-DETR) (TTA))
    RBGNet: Ray-based Grouping for 3D Object DetectionarXiv:2204.02251
  • 16konScanNetV2
    mAP@0.25· 2022-04-05
    70.6
    best: 78.8 (DEST (based on V-DETR) (TTA))
    RBGNet: Ray-based Grouping for 3D Object DetectionarXiv:2204.02251
  • 16konScanNetV2
    mAP@0.5· 2022-04-05
    55.2
    best: 67.9 (DEST (based on V-DETR) (TTA))
    RBGNet: Ray-based Grouping for 3D Object DetectionarXiv:2204.02251

Computer Vision4 results

  • Object DetectiononScanNetV2
    mAP@0.25· 2022-04-05
    70.6
    best: 78.8 (DEST (based on V-DETR) (TTA))
    RBGNet: Ray-based Grouping for 3D Object DetectionarXiv:2204.02251
  • Object DetectiononScanNetV2
    mAP@0.5· 2022-04-05
    55.2
    best: 67.9 (DEST (based on V-DETR) (TTA))
    RBGNet: Ray-based Grouping for 3D Object DetectionarXiv:2204.02251
  • 3D Object DetectiononScanNetV2
    mAP@0.25· 2022-04-05
    70.6
    best: 78.8 (DEST (based on V-DETR) (TTA))
    RBGNet: Ray-based Grouping for 3D Object DetectionarXiv:2204.02251
  • 3D Object DetectiononScanNetV2
    mAP@0.5· 2022-04-05
    55.2
    best: 67.9 (DEST (based on V-DETR) (TTA))
    RBGNet: Ray-based Grouping for 3D Object DetectionarXiv:2204.02251