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Models/CenterPoint

CenterPoint

Reported on 102 benchmarks across 9 tasks · 1 paper · 90 SOTA

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

Methodology64 results

  • 3DonnuScenes LiDAR only
    NDS· 2020-06-19
    67.3
    best: 73.9 (LION)
    SOTA
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • 3DonnuScenes LiDAR only
    NDS (val)· 2020-06-19
    66.8
    best: 72.1 (LION)
    SOTA
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • 3DonnuScenes LiDAR only
    mAP· 2020-06-19
    60.3
    best: 69.8 (LION)
    SOTA
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • 3DonnuScenes LiDAR only
    mAP (val)· 2020-06-19
    59.6
    best: 68 (LION)
    SOTA
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • 3Donwaymo all_ns
    APH/L2· 2020-06-19
    71.93
    SOTA
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • 3DonnuScenes
    NDS· 2020-06-19
    0.71
    best: 55.3 (LabelDistill)
    SOTA
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • 3DonnuScenes
    mAOE· 2020-06-19
    0.35
    best: 1.6 (PointNet)
    SOTA
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • 3DonnuScenes
    mAP· 2020-06-19
    0.67
    best: 45.1 (LabelDistill)
    SOTA
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • 3DonnuScenes
    mASE· 2020-06-19
    0.24
    best: 1 (qww)
    SOTA
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • 3DonnuScenes
    mATE· 2020-06-19
    0.25
    best: 1.06 (3D-GCK)
    SOTA
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • 3DonnuScenes
    mAVE· 2020-06-19
    0.25
    best: 2.21 (PointNet)
    SOTA
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • 3DonONCE
    mAP· 2020-06-19
    60.1
    best: 66.6 (LION)
    SOTA
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • 3DonWaymo Open Dataset
    mAPH/L2· 2020-06-19
    65.8
    best: 74 (LION)
    SOTA
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • 3Donwaymo cyclist
    APH/L2· 2020-06-19
    71.28
    best: 78 (DSVT(val))
    SOTA
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • 3Donwaymo pedestrian
    APH/L2· 2020-06-19
    71.52
    best: 76.4 (DSVT(val))
    SOTA
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • 2D ClassificationonnuScenes LiDAR only
    NDS· 2020-06-19
    67.3
    best: 73.9 (LION)
    SOTA
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • 2D ClassificationonnuScenes LiDAR only
    NDS (val)· 2020-06-19
    66.8
    best: 72.1 (LION)
    SOTA
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • 2D ClassificationonnuScenes LiDAR only
    mAP· 2020-06-19
    60.3
    best: 69.8 (LION)
    SOTA
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • 2D ClassificationonnuScenes LiDAR only
    mAP (val)· 2020-06-19
    59.6
    best: 68 (LION)
    SOTA
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • 2D Classificationonwaymo all_ns
    APH/L2· 2020-06-19
    71.93
    SOTA
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • 2D ClassificationonnuScenes
    NDS· 2020-06-19
    0.71
    best: 55.3 (LabelDistill)
    SOTA
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • 2D ClassificationonnuScenes
    mAOE· 2020-06-19
    0.35
    best: 1.6 (PointNet)
    SOTA
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • 2D ClassificationonnuScenes
    mAP· 2020-06-19
    0.67
    best: 45.1 (LabelDistill)
    SOTA
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • 2D ClassificationonnuScenes
    mASE· 2020-06-19
    0.24
    best: 1 (qww)
    SOTA
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • 2D ClassificationonnuScenes
    mATE· 2020-06-19
    0.25
    best: 1.06 (3D-GCK)
    SOTA
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • 2D ClassificationonnuScenes
    mAVE· 2020-06-19
    0.25
    best: 2.21 (PointNet)
    SOTA
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • 2D ClassificationonONCE
    mAP· 2020-06-19
    60.1
    best: 66.6 (LION)
    SOTA
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • 2D ClassificationonWaymo Open Dataset
    mAPH/L2· 2020-06-19
    65.8
    best: 74 (LION)
    SOTA
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • 2D Classificationonwaymo cyclist
    APH/L2· 2020-06-19
    71.28
    best: 78 (DSVT(val))
    SOTA
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • 2D Classificationonwaymo pedestrian
    APH/L2· 2020-06-19
    71.52
    best: 76.4 (DSVT(val))
    SOTA
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • 2D Object DetectiononnuScenes LiDAR only
    NDS· 2020-06-19
    67.3
    best: 73.9 (LION)
    SOTA
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • 2D Object DetectiononnuScenes LiDAR only
    NDS (val)· 2020-06-19
    66.8
    best: 72.1 (LION)
    SOTA
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • 2D Object DetectiononnuScenes LiDAR only
    mAP· 2020-06-19
    60.3
    best: 69.8 (LION)
    SOTA
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • 2D Object DetectiononnuScenes LiDAR only
    mAP (val)· 2020-06-19
    59.6
    best: 68 (LION)
    SOTA
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • 2D Object Detectiononwaymo all_ns
    APH/L2· 2020-06-19
    71.93
    SOTA
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • 2D Object DetectiononnuScenes
    NDS· 2020-06-19
    0.71
    best: 55.3 (LabelDistill)
    SOTA
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • 2D Object DetectiononnuScenes
    mAOE· 2020-06-19
    0.35
    best: 1.6 (PointNet)
    SOTA
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • 2D Object DetectiononnuScenes
    mAP· 2020-06-19
    0.67
    best: 45.1 (LabelDistill)
    SOTA
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • 2D Object DetectiononnuScenes
    mASE· 2020-06-19
    0.24
    best: 1 (qww)
    SOTA
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • 2D Object DetectiononnuScenes
    mATE· 2020-06-19
    0.25
    best: 1.06 (3D-GCK)
    SOTA
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • 2D Object DetectiononnuScenes
    mAVE· 2020-06-19
    0.25
    best: 2.21 (PointNet)
    SOTA
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • 2D Object DetectiononONCE
    mAP· 2020-06-19
    60.1
    best: 66.6 (LION)
    SOTA
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • 2D Object DetectiononWaymo Open Dataset
    mAPH/L2· 2020-06-19
    65.8
    best: 74 (LION)
    SOTA
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • 2D Object Detectiononwaymo cyclist
    APH/L2· 2020-06-19
    71.28
    best: 78 (DSVT(val))
    SOTA
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • 2D Object Detectiononwaymo pedestrian
    APH/L2· 2020-06-19
    71.52
    best: 76.4 (DSVT(val))
    SOTA
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • 16konnuScenes LiDAR only
    NDS· 2020-06-19
    67.3
    best: 73.9 (LION)
    SOTA
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • 16konnuScenes LiDAR only
    NDS (val)· 2020-06-19
    66.8
    best: 72.1 (LION)
    SOTA
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • 16konnuScenes LiDAR only
    mAP· 2020-06-19
    60.3
    best: 69.8 (LION)
    SOTA
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • 16konnuScenes LiDAR only
    mAP (val)· 2020-06-19
    59.6
    best: 68 (LION)
    SOTA
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • 16konwaymo all_ns
    APH/L2· 2020-06-19
    71.93
    SOTA
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • 16konnuScenes
    NDS· 2020-06-19
    0.71
    best: 55.3 (LabelDistill)
    SOTA
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • 16konnuScenes
    mAOE· 2020-06-19
    0.35
    best: 1.6 (PointNet)
    SOTA
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • 16konnuScenes
    mAP· 2020-06-19
    0.67
    best: 45.1 (LabelDistill)
    SOTA
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • 16konnuScenes
    mASE· 2020-06-19
    0.24
    best: 1 (qww)
    SOTA
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • 16konnuScenes
    mATE· 2020-06-19
    0.25
    best: 1.06 (3D-GCK)
    SOTA
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • 16konnuScenes
    mAVE· 2020-06-19
    0.25
    best: 2.21 (PointNet)
    SOTA
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • 16konONCE
    mAP· 2020-06-19
    60.1
    best: 66.6 (LION)
    SOTA
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • 16konWaymo Open Dataset
    mAPH/L2· 2020-06-19
    65.8
    best: 74 (LION)
    SOTA
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • 16konwaymo cyclist
    APH/L2· 2020-06-19
    71.28
    best: 78 (DSVT(val))
    SOTA
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • 16konwaymo pedestrian
    APH/L2· 2020-06-19
    71.52
    best: 76.4 (DSVT(val))
    SOTA
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • 3DonnuScenes
    mAAE· 2020-06-19
    0.14
    best: 1 (BirdNet+ (multisweep))
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • 2D ClassificationonnuScenes
    mAAE· 2020-06-19
    0.14
    best: 1 (BirdNet+ (multisweep))
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • 2D Object DetectiononnuScenes
    mAAE· 2020-06-19
    0.14
    best: 1 (BirdNet+ (multisweep))
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • 16konnuScenes
    mAAE· 2020-06-19
    0.14
    best: 1 (BirdNet+ (multisweep))
    Center-based 3D Object Detection and TrackingarXiv:2006.11275

Computer Vision41 results

  • Object DetectiononnuScenes LiDAR only
    NDS· 2020-06-19
    67.3
    best: 73.9 (LION)
    SOTA
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • Object DetectiononnuScenes LiDAR only
    NDS (val)· 2020-06-19
    66.8
    best: 72.1 (LION)
    SOTA
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • Object DetectiononnuScenes LiDAR only
    mAP· 2020-06-19
    60.3
    best: 69.8 (LION)
    SOTA
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • Object DetectiononnuScenes LiDAR only
    mAP (val)· 2020-06-19
    59.6
    best: 68 (LION)
    SOTA
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • Object Detectiononwaymo all_ns
    APH/L2· 2020-06-19
    71.93
    SOTA
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • Object DetectiononnuScenes
    NDS· 2020-06-19
    0.71
    best: 55.3 (LabelDistill)
    SOTA
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • Object DetectiononnuScenes
    mAOE· 2020-06-19
    0.35
    best: 1.6 (PointNet)
    SOTA
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • Object DetectiononnuScenes
    mAP· 2020-06-19
    0.67
    best: 45.1 (LabelDistill)
    SOTA
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • Object DetectiononnuScenes
    mASE· 2020-06-19
    0.24
    best: 1 (qww)
    SOTA
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • Object DetectiononnuScenes
    mATE· 2020-06-19
    0.25
    best: 1.06 (3D-GCK)
    SOTA
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • Object DetectiononnuScenes
    mAVE· 2020-06-19
    0.25
    best: 2.21 (PointNet)
    SOTA
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • Object DetectiononONCE
    mAP· 2020-06-19
    60.1
    best: 66.6 (LION)
    SOTA
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • Object DetectiononWaymo Open Dataset
    mAPH/L2· 2020-06-19
    65.8
    best: 74 (LION)
    SOTA
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • Object Detectiononwaymo cyclist
    APH/L2· 2020-06-19
    71.28
    best: 78 (DSVT(val))
    SOTA
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • Object Detectiononwaymo pedestrian
    APH/L2· 2020-06-19
    71.52
    best: 76.4 (DSVT(val))
    SOTA
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • 3D Object DetectiononnuScenes LiDAR only
    NDS· 2020-06-19
    67.3
    best: 73.9 (LION)
    SOTA
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • 3D Object DetectiononnuScenes LiDAR only
    NDS (val)· 2020-06-19
    66.8
    best: 72.1 (LION)
    SOTA
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • 3D Object DetectiononnuScenes LiDAR only
    mAP· 2020-06-19
    60.3
    best: 69.8 (LION)
    SOTA
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • 3D Object DetectiononnuScenes LiDAR only
    mAP (val)· 2020-06-19
    59.6
    best: 68 (LION)
    SOTA
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • 3D Object Detectiononwaymo all_ns
    APH/L2· 2020-06-19
    71.93
    SOTA
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • 3D Object DetectiononnuScenes
    NDS· 2020-06-19
    0.71
    best: 55.3 (LabelDistill)
    SOTA
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • 3D Object DetectiononnuScenes
    mAOE· 2020-06-19
    0.35
    best: 1.6 (PointNet)
    SOTA
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • 3D Object DetectiononnuScenes
    mAP· 2020-06-19
    0.67
    best: 45.1 (LabelDistill)
    SOTA
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • 3D Object DetectiononnuScenes
    mASE· 2020-06-19
    0.24
    best: 1 (qww)
    SOTA
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • 3D Object DetectiononnuScenes
    mATE· 2020-06-19
    0.25
    best: 1.06 (3D-GCK)
    SOTA
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • 3D Object DetectiononnuScenes
    mAVE· 2020-06-19
    0.25
    best: 2.21 (PointNet)
    SOTA
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • 3D Object DetectiononONCE
    mAP· 2020-06-19
    60.1
    best: 66.6 (LION)
    SOTA
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • 3D Object DetectiononWaymo Open Dataset
    mAPH/L2· 2020-06-19
    65.8
    best: 74 (LION)
    SOTA
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • 3D Object Detectiononwaymo cyclist
    APH/L2· 2020-06-19
    71.28
    best: 78 (DSVT(val))
    SOTA
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • 3D Object Detectiononwaymo pedestrian
    APH/L2· 2020-06-19
    71.52
    best: 76.4 (DSVT(val))
    SOTA
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • Object DetectiononnuScenes
    mAAE· 2020-06-19
    0.14
    best: 1 (BirdNet+ (multisweep))
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • 3D Object DetectiononnuScenes
    mAAE· 2020-06-19
    0.14
    best: 1 (BirdNet+ (multisweep))
    Center-based 3D Object Detection and TrackingarXiv:2006.11275
  • Multi-Object TrackingonWaymo Open Dataset: Vehicle (Online Methods)
    MOTA/L2
    0.5938
    best: 0.7466 (RobMOT)
  • Multi-Object TrackingonnuScenes
    AMOTA
    0.65
    best: 0.763 (MCTrack)
  • Multi-Object TrackingonnuScenes
    AMOTA
    0.49
    best: 0.763 (MCTrack)
  • Object TrackingonWaymo Open Dataset: Vehicle (Online Methods)
    MOTA/L2
    0.5938
    best: 0.7466 (RobMOT)
  • Object TrackingonnuScenes
    AMOTA
    0.65
    best: 0.763 (MCTrack)
  • Object TrackingonnuScenes
    AMOTA
    0.49
    best: 0.763 (MCTrack)
  • 3D Multi-Object TrackingonWaymo Open Dataset: Vehicle (Online Methods)
    MOTA/L2
    0.5938
    best: 0.7466 (RobMOT)
  • 3D Multi-Object TrackingonnuScenes
    AMOTA
    0.65
    best: 0.763 (MCTrack)
  • 3D Multi-Object TrackingonnuScenes
    AMOTA
    0.49
    best: 0.763 (MCTrack)