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Models/EPro-PnP-Det v2

EPro-PnP-Det v2

Reported on 42 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.

Methodology56 results

  • 3DonnuScenes
    NDS· 2023-03-22
    0.49
    best: 55.3 (LabelDistill)
    EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose EstimationarXiv:2303.12787
  • 3DonnuScenes
    mAAE· 2023-03-22
    0.123
    best: 1 (BirdNet+ (multisweep))
    EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose EstimationarXiv:2303.12787
  • 3DonnuScenes
    mAOE· 2023-03-22
    0.302
    best: 1.6 (PointNet)
    EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose EstimationarXiv:2303.12787
  • 3DonnuScenes
    mAP· 2023-03-22
    0.423
    best: 45.1 (LabelDistill)
    EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose EstimationarXiv:2303.12787
  • 3DonnuScenes
    mASE· 2023-03-22
    0.236
    best: 1 (qww)
    EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose EstimationarXiv:2303.12787
  • 3DonnuScenes
    mATE· 2023-03-22
    0.547
    best: 1.06 (3D-GCK)
    EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose EstimationarXiv:2303.12787
  • 3DonnuScenes
    mAVE· 2023-03-22
    1.071
    best: 2.21 (PointNet)
    EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose EstimationarXiv:2303.12787
  • 3DonnuScenes
    NDS· 2023-03-22
    0.49
    best: 55.3 (LabelDistill)
    EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose EstimationarXiv:2303.12787
  • 2D ClassificationonnuScenes
    NDS· 2023-03-22
    0.49
    best: 55.3 (LabelDistill)
    EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose EstimationarXiv:2303.12787
  • 2D ClassificationonnuScenes
    mAAE· 2023-03-22
    0.123
    best: 1 (BirdNet+ (multisweep))
    EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose EstimationarXiv:2303.12787
  • 2D ClassificationonnuScenes
    mAOE· 2023-03-22
    0.302
    best: 1.6 (PointNet)
    EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose EstimationarXiv:2303.12787
  • 2D ClassificationonnuScenes
    mAP· 2023-03-22
    0.423
    best: 45.1 (LabelDistill)
    EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose EstimationarXiv:2303.12787
  • 2D ClassificationonnuScenes
    mASE· 2023-03-22
    0.236
    best: 1 (qww)
    EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose EstimationarXiv:2303.12787
  • 2D ClassificationonnuScenes
    mATE· 2023-03-22
    0.547
    best: 1.06 (3D-GCK)
    EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose EstimationarXiv:2303.12787
  • 2D ClassificationonnuScenes
    mAVE· 2023-03-22
    1.071
    best: 2.21 (PointNet)
    EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose EstimationarXiv:2303.12787
  • 2D ClassificationonnuScenes
    NDS· 2023-03-22
    0.49
    best: 55.3 (LabelDistill)
    EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose EstimationarXiv:2303.12787
  • 2D Object DetectiononnuScenes
    NDS· 2023-03-22
    0.49
    best: 55.3 (LabelDistill)
    EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose EstimationarXiv:2303.12787
  • 2D Object DetectiononnuScenes
    mAAE· 2023-03-22
    0.123
    best: 1 (BirdNet+ (multisweep))
    EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose EstimationarXiv:2303.12787
  • 2D Object DetectiononnuScenes
    mAOE· 2023-03-22
    0.302
    best: 1.6 (PointNet)
    EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose EstimationarXiv:2303.12787
  • 2D Object DetectiononnuScenes
    mAP· 2023-03-22
    0.423
    best: 45.1 (LabelDistill)
    EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose EstimationarXiv:2303.12787
  • 2D Object DetectiononnuScenes
    mASE· 2023-03-22
    0.236
    best: 1 (qww)
    EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose EstimationarXiv:2303.12787
  • 2D Object DetectiononnuScenes
    mATE· 2023-03-22
    0.547
    best: 1.06 (3D-GCK)
    EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose EstimationarXiv:2303.12787
  • 2D Object DetectiononnuScenes
    mAVE· 2023-03-22
    1.071
    best: 2.21 (PointNet)
    EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose EstimationarXiv:2303.12787
  • 2D Object DetectiononnuScenes
    NDS· 2023-03-22
    0.49
    best: 55.3 (LabelDistill)
    EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose EstimationarXiv:2303.12787
  • 16konnuScenes
    NDS· 2023-03-22
    0.49
    best: 55.3 (LabelDistill)
    EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose EstimationarXiv:2303.12787
  • 16konnuScenes
    mAAE· 2023-03-22
    0.123
    best: 1 (BirdNet+ (multisweep))
    EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose EstimationarXiv:2303.12787
  • 16konnuScenes
    mAOE· 2023-03-22
    0.302
    best: 1.6 (PointNet)
    EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose EstimationarXiv:2303.12787
  • 16konnuScenes
    mAP· 2023-03-22
    0.423
    best: 45.1 (LabelDistill)
    EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose EstimationarXiv:2303.12787
  • 16konnuScenes
    mASE· 2023-03-22
    0.236
    best: 1 (qww)
    EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose EstimationarXiv:2303.12787
  • 16konnuScenes
    mATE· 2023-03-22
    0.547
    best: 1.06 (3D-GCK)
    EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose EstimationarXiv:2303.12787
  • 16konnuScenes
    mAVE· 2023-03-22
    1.071
    best: 2.21 (PointNet)
    EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose EstimationarXiv:2303.12787
  • 16konnuScenes
    NDS· 2023-03-22
    0.49
    best: 55.3 (LabelDistill)
    EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose EstimationarXiv:2303.12787
  • 3DonnuScenes
    mAAE
    0.12
    best: 1 (BirdNet+ (multisweep))
  • 3DonnuScenes
    mAOE
    0.3
    best: 1.6 (PointNet)
  • 3DonnuScenes
    mAP
    0.42
    best: 45.1 (LabelDistill)
  • 3DonnuScenes
    mASE
    0.24
    best: 1 (qww)
  • 3DonnuScenes
    mATE
    0.55
    best: 1.06 (3D-GCK)
  • 3DonnuScenes
    mAVE
    1.07
    best: 2.21 (PointNet)
  • 2D ClassificationonnuScenes
    mAAE
    0.12
    best: 1 (BirdNet+ (multisweep))
  • 2D ClassificationonnuScenes
    mAOE
    0.3
    best: 1.6 (PointNet)
  • 2D ClassificationonnuScenes
    mAP
    0.42
    best: 45.1 (LabelDistill)
  • 2D ClassificationonnuScenes
    mASE
    0.24
    best: 1 (qww)
  • 2D ClassificationonnuScenes
    mATE
    0.55
    best: 1.06 (3D-GCK)
  • 2D ClassificationonnuScenes
    mAVE
    1.07
    best: 2.21 (PointNet)
  • 2D Object DetectiononnuScenes
    mAAE
    0.12
    best: 1 (BirdNet+ (multisweep))
  • 2D Object DetectiononnuScenes
    mAOE
    0.3
    best: 1.6 (PointNet)
  • 2D Object DetectiononnuScenes
    mAP
    0.42
    best: 45.1 (LabelDistill)
  • 2D Object DetectiononnuScenes
    mASE
    0.24
    best: 1 (qww)
  • 2D Object DetectiononnuScenes
    mATE
    0.55
    best: 1.06 (3D-GCK)
  • 2D Object DetectiononnuScenes
    mAVE
    1.07
    best: 2.21 (PointNet)
  • 16konnuScenes
    mAAE
    0.12
    best: 1 (BirdNet+ (multisweep))
  • 16konnuScenes
    mAOE
    0.3
    best: 1.6 (PointNet)
  • 16konnuScenes
    mAP
    0.42
    best: 45.1 (LabelDistill)
  • 16konnuScenes
    mASE
    0.24
    best: 1 (qww)
  • 16konnuScenes
    mATE
    0.55
    best: 1.06 (3D-GCK)
  • 16konnuScenes
    mAVE
    1.07
    best: 2.21 (PointNet)

Computer Vision28 results

  • Object DetectiononnuScenes
    NDS· 2023-03-22
    0.49
    best: 55.3 (LabelDistill)
    EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose EstimationarXiv:2303.12787
  • Object DetectiononnuScenes
    mAAE· 2023-03-22
    0.123
    best: 1 (BirdNet+ (multisweep))
    EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose EstimationarXiv:2303.12787
  • Object DetectiononnuScenes
    mAOE· 2023-03-22
    0.302
    best: 1.6 (PointNet)
    EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose EstimationarXiv:2303.12787
  • Object DetectiononnuScenes
    mAP· 2023-03-22
    0.423
    best: 45.1 (LabelDistill)
    EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose EstimationarXiv:2303.12787
  • Object DetectiononnuScenes
    mASE· 2023-03-22
    0.236
    best: 1 (qww)
    EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose EstimationarXiv:2303.12787
  • Object DetectiononnuScenes
    mATE· 2023-03-22
    0.547
    best: 1.06 (3D-GCK)
    EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose EstimationarXiv:2303.12787
  • Object DetectiononnuScenes
    mAVE· 2023-03-22
    1.071
    best: 2.21 (PointNet)
    EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose EstimationarXiv:2303.12787
  • Object DetectiononnuScenes
    NDS· 2023-03-22
    0.49
    best: 55.3 (LabelDistill)
    EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose EstimationarXiv:2303.12787
  • 3D Object DetectiononnuScenes
    NDS· 2023-03-22
    0.49
    best: 55.3 (LabelDistill)
    EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose EstimationarXiv:2303.12787
  • 3D Object DetectiononnuScenes
    mAAE· 2023-03-22
    0.123
    best: 1 (BirdNet+ (multisweep))
    EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose EstimationarXiv:2303.12787
  • 3D Object DetectiononnuScenes
    mAOE· 2023-03-22
    0.302
    best: 1.6 (PointNet)
    EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose EstimationarXiv:2303.12787
  • 3D Object DetectiononnuScenes
    mAP· 2023-03-22
    0.423
    best: 45.1 (LabelDistill)
    EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose EstimationarXiv:2303.12787
  • 3D Object DetectiononnuScenes
    mASE· 2023-03-22
    0.236
    best: 1 (qww)
    EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose EstimationarXiv:2303.12787
  • 3D Object DetectiononnuScenes
    mATE· 2023-03-22
    0.547
    best: 1.06 (3D-GCK)
    EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose EstimationarXiv:2303.12787
  • 3D Object DetectiononnuScenes
    mAVE· 2023-03-22
    1.071
    best: 2.21 (PointNet)
    EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose EstimationarXiv:2303.12787
  • 3D Object DetectiononnuScenes
    NDS· 2023-03-22
    0.49
    best: 55.3 (LabelDistill)
    EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose EstimationarXiv:2303.12787
  • Object DetectiononnuScenes
    mAAE
    0.12
    best: 1 (BirdNet+ (multisweep))
  • Object DetectiononnuScenes
    mAOE
    0.3
    best: 1.6 (PointNet)
  • Object DetectiononnuScenes
    mAP
    0.42
    best: 45.1 (LabelDistill)
  • Object DetectiononnuScenes
    mASE
    0.24
    best: 1 (qww)
  • Object DetectiononnuScenes
    mATE
    0.55
    best: 1.06 (3D-GCK)
  • Object DetectiononnuScenes
    mAVE
    1.07
    best: 2.21 (PointNet)
  • 3D Object DetectiononnuScenes
    mAAE
    0.12
    best: 1 (BirdNet+ (multisweep))
  • 3D Object DetectiononnuScenes
    mAOE
    0.3
    best: 1.6 (PointNet)
  • 3D Object DetectiononnuScenes
    mAP
    0.42
    best: 45.1 (LabelDistill)
  • 3D Object DetectiononnuScenes
    mASE
    0.24
    best: 1 (qww)
  • 3D Object DetectiononnuScenes
    mATE
    0.55
    best: 1.06 (3D-GCK)
  • 3D Object DetectiononnuScenes
    mAVE
    1.07
    best: 2.21 (PointNet)