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Models/QD-3DT

QD-3DT

Reported on 51 benchmarks across 11 tasks · 1 paper

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

Methodology28 results

  • 3DonnuScenes
    NDS
    0.36
    best: 55.3 (LabelDistill)
  • 3DonnuScenes
    mAAE
    0.33
    best: 1 (BirdNet+ (multisweep))
  • 3DonnuScenes
    mAOE
    0.46
    best: 1.6 (PointNet)
  • 3DonnuScenes
    mAP
    0.27
    best: 45.1 (LabelDistill)
  • 3DonnuScenes
    mASE
    0.25
    best: 1 (qww)
  • 3DonnuScenes
    mATE
    0.71
    best: 1.06 (3D-GCK)
  • 3DonnuScenes
    mAVE
    1.31
    best: 2.21 (PointNet)
  • 2D ClassificationonnuScenes
    NDS
    0.36
    best: 55.3 (LabelDistill)
  • 2D ClassificationonnuScenes
    mAAE
    0.33
    best: 1 (BirdNet+ (multisweep))
  • 2D ClassificationonnuScenes
    mAOE
    0.46
    best: 1.6 (PointNet)
  • 2D ClassificationonnuScenes
    mAP
    0.27
    best: 45.1 (LabelDistill)
  • 2D ClassificationonnuScenes
    mASE
    0.25
    best: 1 (qww)
  • 2D ClassificationonnuScenes
    mATE
    0.71
    best: 1.06 (3D-GCK)
  • 2D ClassificationonnuScenes
    mAVE
    1.31
    best: 2.21 (PointNet)
  • 2D Object DetectiononnuScenes
    NDS
    0.36
    best: 55.3 (LabelDistill)
  • 2D Object DetectiononnuScenes
    mAAE
    0.33
    best: 1 (BirdNet+ (multisweep))
  • 2D Object DetectiononnuScenes
    mAOE
    0.46
    best: 1.6 (PointNet)
  • 2D Object DetectiononnuScenes
    mAP
    0.27
    best: 45.1 (LabelDistill)
  • 2D Object DetectiononnuScenes
    mASE
    0.25
    best: 1 (qww)
  • 2D Object DetectiononnuScenes
    mATE
    0.71
    best: 1.06 (3D-GCK)
  • 2D Object DetectiononnuScenes
    mAVE
    1.31
    best: 2.21 (PointNet)
  • 16konnuScenes
    NDS
    0.36
    best: 55.3 (LabelDistill)
  • 16konnuScenes
    mAAE
    0.33
    best: 1 (BirdNet+ (multisweep))
  • 16konnuScenes
    mAOE
    0.46
    best: 1.6 (PointNet)
  • 16konnuScenes
    mAP
    0.27
    best: 45.1 (LabelDistill)
  • 16konnuScenes
    mASE
    0.25
    best: 1 (qww)
  • 16konnuScenes
    mATE
    0.71
    best: 1.06 (3D-GCK)
  • 16konnuScenes
    mAVE
    1.31
    best: 2.21 (PointNet)

Computer Vision23 results

  • VideoonKITTI Test (Online Methods)
    HOTA· 2021-03-12
    72.77
    best: 81.8 (RobMOT (Dynamic))
    Monocular Quasi-Dense 3D Object TrackingarXiv:2103.07351
  • VideoonKITTI Test (Online Methods)
    MOTA· 2021-03-12
    86.41
    best: 8629 (CasTrack)
    Monocular Quasi-Dense 3D Object TrackingarXiv:2103.07351
  • Object TrackingonKITTI Test (Online Methods)
    HOTA· 2021-03-12
    72.77
    best: 81.8 (RobMOT (Dynamic))
    Monocular Quasi-Dense 3D Object TrackingarXiv:2103.07351
  • Object TrackingonKITTI Test (Online Methods)
    MOTA· 2021-03-12
    86.41
    best: 8629 (CasTrack)
    Monocular Quasi-Dense 3D Object TrackingarXiv:2103.07351
  • Multiple Object TrackingonKITTI Test (Online Methods)
    HOTA· 2021-03-12
    72.77
    best: 81.8 (RobMOT (Dynamic))
    Monocular Quasi-Dense 3D Object TrackingarXiv:2103.07351
  • Multiple Object TrackingonKITTI Test (Online Methods)
    MOTA· 2021-03-12
    86.41
    best: 8629 (CasTrack)
    Monocular Quasi-Dense 3D Object TrackingarXiv:2103.07351
  • Multi-Object TrackingonnuScenes
    AMOTA
    0.22
    best: 0.763 (MCTrack)
  • Object TrackingonnuScenes
    AMOTA
    0.22
    best: 0.763 (MCTrack)
  • Object DetectiononnuScenes
    NDS
    0.36
    best: 55.3 (LabelDistill)
  • Object DetectiononnuScenes
    mAAE
    0.33
    best: 1 (BirdNet+ (multisweep))
  • Object DetectiononnuScenes
    mAOE
    0.46
    best: 1.6 (PointNet)
  • Object DetectiononnuScenes
    mAP
    0.27
    best: 45.1 (LabelDistill)
  • Object DetectiononnuScenes
    mASE
    0.25
    best: 1 (qww)
  • Object DetectiononnuScenes
    mATE
    0.71
    best: 1.06 (3D-GCK)
  • Object DetectiononnuScenes
    mAVE
    1.31
    best: 2.21 (PointNet)
  • 3D Object DetectiononnuScenes
    NDS
    0.36
    best: 55.3 (LabelDistill)
  • 3D Object DetectiononnuScenes
    mAAE
    0.33
    best: 1 (BirdNet+ (multisweep))
  • 3D Object DetectiononnuScenes
    mAOE
    0.46
    best: 1.6 (PointNet)
  • 3D Object DetectiononnuScenes
    mAP
    0.27
    best: 45.1 (LabelDistill)
  • 3D Object DetectiononnuScenes
    mASE
    0.25
    best: 1 (qww)
  • 3D Object DetectiononnuScenes
    mATE
    0.71
    best: 1.06 (3D-GCK)
  • 3D Object DetectiononnuScenes
    mAVE
    1.31
    best: 2.21 (PointNet)
  • 3D Multi-Object TrackingonnuScenes
    AMOTA
    0.22
    best: 0.763 (MCTrack)