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Models/VoteNet

VoteNet

Reported on 28 benchmarks across 6 tasks · 1 paper · 23 SOTA

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

Methodology20 results

  • 3DonARKitScenes
    mAP@0.25· 2019-04-21
    35.8
    best: 61.3 (UniDet3D)
    SOTA
    Deep Hough Voting for 3D Object Detection in Point CloudsarXiv:1904.09664
  • 3DonScanNetV2
    mAP@0.25· 2019-04-21
    58.6
    best: 78.8 (DEST (based on V-DETR) (TTA))
    SOTA
    Deep Hough Voting for 3D Object Detection in Point CloudsarXiv:1904.09664
  • 3DonScanNetV2
    mAP@0.5· 2019-04-21
    33.5
    best: 67.9 (DEST (based on V-DETR) (TTA))
    SOTA
    Deep Hough Voting for 3D Object Detection in Point CloudsarXiv:1904.09664
  • 3DonKITTI-360
    AP25· 2019-04-21
    30.61
    best: 39.76 (MonoDTR)
    SOTA
    Deep Hough Voting for 3D Object Detection in Point CloudsarXiv:1904.09664
  • 2D ClassificationonARKitScenes
    mAP@0.25· 2019-04-21
    35.8
    best: 61.3 (UniDet3D)
    SOTA
    Deep Hough Voting for 3D Object Detection in Point CloudsarXiv:1904.09664
  • 2D ClassificationonScanNetV2
    mAP@0.25· 2019-04-21
    58.6
    best: 78.8 (DEST (based on V-DETR) (TTA))
    SOTA
    Deep Hough Voting for 3D Object Detection in Point CloudsarXiv:1904.09664
  • 2D ClassificationonScanNetV2
    mAP@0.5· 2019-04-21
    33.5
    best: 67.9 (DEST (based on V-DETR) (TTA))
    SOTA
    Deep Hough Voting for 3D Object Detection in Point CloudsarXiv:1904.09664
  • 2D ClassificationonKITTI-360
    AP25· 2019-04-21
    30.61
    best: 39.76 (MonoDTR)
    SOTA
    Deep Hough Voting for 3D Object Detection in Point CloudsarXiv:1904.09664
  • 2D Object DetectiononARKitScenes
    mAP@0.25· 2019-04-21
    35.8
    best: 61.3 (UniDet3D)
    SOTA
    Deep Hough Voting for 3D Object Detection in Point CloudsarXiv:1904.09664
  • 2D Object DetectiononScanNetV2
    mAP@0.25· 2019-04-21
    58.6
    best: 78.8 (DEST (based on V-DETR) (TTA))
    SOTA
    Deep Hough Voting for 3D Object Detection in Point CloudsarXiv:1904.09664
  • 2D Object DetectiononScanNetV2
    mAP@0.5· 2019-04-21
    33.5
    best: 67.9 (DEST (based on V-DETR) (TTA))
    SOTA
    Deep Hough Voting for 3D Object Detection in Point CloudsarXiv:1904.09664
  • 2D Object DetectiononKITTI-360
    AP25· 2019-04-21
    30.61
    best: 39.76 (MonoDTR)
    SOTA
    Deep Hough Voting for 3D Object Detection in Point CloudsarXiv:1904.09664
  • 16konARKitScenes
    mAP@0.25· 2019-04-21
    35.8
    best: 61.3 (UniDet3D)
    SOTA
    Deep Hough Voting for 3D Object Detection in Point CloudsarXiv:1904.09664
  • 16konScanNetV2
    mAP@0.25· 2019-04-21
    58.6
    best: 78.8 (DEST (based on V-DETR) (TTA))
    SOTA
    Deep Hough Voting for 3D Object Detection in Point CloudsarXiv:1904.09664
  • 16konScanNetV2
    mAP@0.5· 2019-04-21
    33.5
    best: 67.9 (DEST (based on V-DETR) (TTA))
    SOTA
    Deep Hough Voting for 3D Object Detection in Point CloudsarXiv:1904.09664
  • 16konKITTI-360
    AP25· 2019-04-21
    30.61
    best: 39.76 (MonoDTR)
    SOTA
    Deep Hough Voting for 3D Object Detection in Point CloudsarXiv:1904.09664
  • 3DonKITTI-360
    AP50· 2019-04-21
    3.4
    best: 4.64 (SeaBird + PanopticBEV)
    Deep Hough Voting for 3D Object Detection in Point CloudsarXiv:1904.09664
  • 2D ClassificationonKITTI-360
    AP50· 2019-04-21
    3.4
    best: 4.64 (SeaBird + PanopticBEV)
    Deep Hough Voting for 3D Object Detection in Point CloudsarXiv:1904.09664
  • 2D Object DetectiononKITTI-360
    AP50· 2019-04-21
    3.4
    best: 4.64 (SeaBird + PanopticBEV)
    Deep Hough Voting for 3D Object Detection in Point CloudsarXiv:1904.09664
  • 16konKITTI-360
    AP50· 2019-04-21
    3.4
    best: 4.64 (SeaBird + PanopticBEV)
    Deep Hough Voting for 3D Object Detection in Point CloudsarXiv:1904.09664

Computer Vision8 results

  • Object DetectiononARKitScenes
    mAP@0.25· 2019-04-21
    35.8
    best: 61.3 (UniDet3D)
    SOTA
    Deep Hough Voting for 3D Object Detection in Point CloudsarXiv:1904.09664
  • Object DetectiononScanNetV2
    mAP@0.25· 2019-04-21
    58.6
    best: 78.8 (DEST (based on V-DETR) (TTA))
    SOTA
    Deep Hough Voting for 3D Object Detection in Point CloudsarXiv:1904.09664
  • Object DetectiononScanNetV2
    mAP@0.5· 2019-04-21
    33.5
    best: 67.9 (DEST (based on V-DETR) (TTA))
    SOTA
    Deep Hough Voting for 3D Object Detection in Point CloudsarXiv:1904.09664
  • Object DetectiononKITTI-360
    AP25· 2019-04-21
    30.61
    best: 39.76 (MonoDTR)
    SOTA
    Deep Hough Voting for 3D Object Detection in Point CloudsarXiv:1904.09664
  • 3D Object DetectiononARKitScenes
    mAP@0.25· 2019-04-21
    35.8
    best: 61.3 (UniDet3D)
    SOTA
    Deep Hough Voting for 3D Object Detection in Point CloudsarXiv:1904.09664
  • 3D Object DetectiononScanNetV2
    mAP@0.25· 2019-04-21
    58.6
    best: 78.8 (DEST (based on V-DETR) (TTA))
    SOTA
    Deep Hough Voting for 3D Object Detection in Point CloudsarXiv:1904.09664
  • 3D Object DetectiononScanNetV2
    mAP@0.5· 2019-04-21
    33.5
    best: 67.9 (DEST (based on V-DETR) (TTA))
    SOTA
    Deep Hough Voting for 3D Object Detection in Point CloudsarXiv:1904.09664
  • Object DetectiononKITTI-360
    AP50· 2019-04-21
    3.4
    best: 4.64 (SeaBird + PanopticBEV)
    Deep Hough Voting for 3D Object Detection in Point CloudsarXiv:1904.09664