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Models/BEVDistill

BEVDistill

Reported on 48 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.

Methodology32 results

  • 3DonnuScenes Camera Only
    NDS· 2022-11-17
    59.4
    best: 68.7 (Far3D)
    BEVDistill: Cross-Modal BEV Distillation for Multi-View 3D Object DetectionarXiv:2211.09386
  • 2D ClassificationonnuScenes Camera Only
    NDS· 2022-11-17
    59.4
    best: 68.7 (Far3D)
    BEVDistill: Cross-Modal BEV Distillation for Multi-View 3D Object DetectionarXiv:2211.09386
  • 2D Object DetectiononnuScenes Camera Only
    NDS· 2022-11-17
    59.4
    best: 68.7 (Far3D)
    BEVDistill: Cross-Modal BEV Distillation for Multi-View 3D Object DetectionarXiv:2211.09386
  • 16konnuScenes Camera Only
    NDS· 2022-11-17
    59.4
    best: 68.7 (Far3D)
    BEVDistill: Cross-Modal BEV Distillation for Multi-View 3D Object DetectionarXiv:2211.09386
  • 3DonnuScenes
    NDS
    0.59
    best: 55.3 (LabelDistill)
  • 3DonnuScenes
    mAAE
    0.13
    best: 1 (BirdNet+ (multisweep))
  • 3DonnuScenes
    mAOE
    0.38
    best: 1.6 (PointNet)
  • 3DonnuScenes
    mAP
    0.5
    best: 45.1 (LabelDistill)
  • 3DonnuScenes
    mASE
    0.25
    best: 1 (qww)
  • 3DonnuScenes
    mATE
    0.47
    best: 1.06 (3D-GCK)
  • 3DonnuScenes
    mAVE
    0.33
    best: 2.21 (PointNet)
  • 2D ClassificationonnuScenes
    NDS
    0.59
    best: 55.3 (LabelDistill)
  • 2D ClassificationonnuScenes
    mAAE
    0.13
    best: 1 (BirdNet+ (multisweep))
  • 2D ClassificationonnuScenes
    mAOE
    0.38
    best: 1.6 (PointNet)
  • 2D ClassificationonnuScenes
    mAP
    0.5
    best: 45.1 (LabelDistill)
  • 2D ClassificationonnuScenes
    mASE
    0.25
    best: 1 (qww)
  • 2D ClassificationonnuScenes
    mATE
    0.47
    best: 1.06 (3D-GCK)
  • 2D ClassificationonnuScenes
    mAVE
    0.33
    best: 2.21 (PointNet)
  • 2D Object DetectiononnuScenes
    NDS
    0.59
    best: 55.3 (LabelDistill)
  • 2D Object DetectiononnuScenes
    mAAE
    0.13
    best: 1 (BirdNet+ (multisweep))
  • 2D Object DetectiononnuScenes
    mAOE
    0.38
    best: 1.6 (PointNet)
  • 2D Object DetectiononnuScenes
    mAP
    0.5
    best: 45.1 (LabelDistill)
  • 2D Object DetectiononnuScenes
    mASE
    0.25
    best: 1 (qww)
  • 2D Object DetectiononnuScenes
    mATE
    0.47
    best: 1.06 (3D-GCK)
  • 2D Object DetectiononnuScenes
    mAVE
    0.33
    best: 2.21 (PointNet)
  • 16konnuScenes
    NDS
    0.59
    best: 55.3 (LabelDistill)
  • 16konnuScenes
    mAAE
    0.13
    best: 1 (BirdNet+ (multisweep))
  • 16konnuScenes
    mAOE
    0.38
    best: 1.6 (PointNet)
  • 16konnuScenes
    mAP
    0.5
    best: 45.1 (LabelDistill)
  • 16konnuScenes
    mASE
    0.25
    best: 1 (qww)
  • 16konnuScenes
    mATE
    0.47
    best: 1.06 (3D-GCK)
  • 16konnuScenes
    mAVE
    0.33
    best: 2.21 (PointNet)

Computer Vision16 results

  • Object DetectiononnuScenes Camera Only
    NDS· 2022-11-17
    59.4
    best: 68.7 (Far3D)
    BEVDistill: Cross-Modal BEV Distillation for Multi-View 3D Object DetectionarXiv:2211.09386
  • 3D Object DetectiononnuScenes Camera Only
    NDS· 2022-11-17
    59.4
    best: 68.7 (Far3D)
    BEVDistill: Cross-Modal BEV Distillation for Multi-View 3D Object DetectionarXiv:2211.09386
  • Object DetectiononnuScenes
    NDS
    0.59
    best: 55.3 (LabelDistill)
  • Object DetectiononnuScenes
    mAAE
    0.13
    best: 1 (BirdNet+ (multisweep))
  • Object DetectiononnuScenes
    mAOE
    0.38
    best: 1.6 (PointNet)
  • Object DetectiononnuScenes
    mAP
    0.5
    best: 45.1 (LabelDistill)
  • Object DetectiononnuScenes
    mASE
    0.25
    best: 1 (qww)
  • Object DetectiononnuScenes
    mATE
    0.47
    best: 1.06 (3D-GCK)
  • Object DetectiononnuScenes
    mAVE
    0.33
    best: 2.21 (PointNet)
  • 3D Object DetectiononnuScenes
    NDS
    0.59
    best: 55.3 (LabelDistill)
  • 3D Object DetectiononnuScenes
    mAAE
    0.13
    best: 1 (BirdNet+ (multisweep))
  • 3D Object DetectiononnuScenes
    mAOE
    0.38
    best: 1.6 (PointNet)
  • 3D Object DetectiononnuScenes
    mAP
    0.5
    best: 45.1 (LabelDistill)
  • 3D Object DetectiononnuScenes
    mASE
    0.25
    best: 1 (qww)
  • 3D Object DetectiononnuScenes
    mATE
    0.47
    best: 1.06 (3D-GCK)
  • 3D Object DetectiononnuScenes
    mAVE
    0.33
    best: 2.21 (PointNet)