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Models/SphereFormer

SphereFormer

Reported on 47 benchmarks across 10 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
    0.73
    best: 55.3 (LabelDistill)
  • 3DonnuScenes
    mAAE
    0.13
    best: 1 (BirdNet+ (multisweep))
  • 3DonnuScenes
    mAOE
    0.35
    best: 1.6 (PointNet)
  • 3DonnuScenes
    mAP
    0.69
    best: 45.1 (LabelDistill)
  • 3DonnuScenes
    mASE
    0.23
    best: 1 (qww)
  • 3DonnuScenes
    mATE
    0.24
    best: 1.06 (3D-GCK)
  • 3DonnuScenes
    mAVE
    0.19
    best: 2.21 (PointNet)
  • 2D ClassificationonnuScenes
    NDS
    0.73
    best: 55.3 (LabelDistill)
  • 2D ClassificationonnuScenes
    mAAE
    0.13
    best: 1 (BirdNet+ (multisweep))
  • 2D ClassificationonnuScenes
    mAOE
    0.35
    best: 1.6 (PointNet)
  • 2D ClassificationonnuScenes
    mAP
    0.69
    best: 45.1 (LabelDistill)
  • 2D ClassificationonnuScenes
    mASE
    0.23
    best: 1 (qww)
  • 2D ClassificationonnuScenes
    mATE
    0.24
    best: 1.06 (3D-GCK)
  • 2D ClassificationonnuScenes
    mAVE
    0.19
    best: 2.21 (PointNet)
  • 2D Object DetectiononnuScenes
    NDS
    0.73
    best: 55.3 (LabelDistill)
  • 2D Object DetectiononnuScenes
    mAAE
    0.13
    best: 1 (BirdNet+ (multisweep))
  • 2D Object DetectiononnuScenes
    mAOE
    0.35
    best: 1.6 (PointNet)
  • 2D Object DetectiononnuScenes
    mAP
    0.69
    best: 45.1 (LabelDistill)
  • 2D Object DetectiononnuScenes
    mASE
    0.23
    best: 1 (qww)
  • 2D Object DetectiononnuScenes
    mATE
    0.24
    best: 1.06 (3D-GCK)
  • 2D Object DetectiononnuScenes
    mAVE
    0.19
    best: 2.21 (PointNet)
  • 16konnuScenes
    NDS
    0.73
    best: 55.3 (LabelDistill)
  • 16konnuScenes
    mAAE
    0.13
    best: 1 (BirdNet+ (multisweep))
  • 16konnuScenes
    mAOE
    0.35
    best: 1.6 (PointNet)
  • 16konnuScenes
    mAP
    0.69
    best: 45.1 (LabelDistill)
  • 16konnuScenes
    mASE
    0.23
    best: 1 (qww)
  • 16konnuScenes
    mATE
    0.24
    best: 1.06 (3D-GCK)
  • 16konnuScenes
    mAVE
    0.19
    best: 2.21 (PointNet)

Computer Vision17 results

  • 3D Semantic SegmentationonWildScenes
    mIoU· 2023-03-22
    33.97
    best: 40.07 (Cylinder3D)
    Spherical Transformer for LiDAR-based 3D RecognitionarXiv:2303.12766
  • LIDAR Semantic SegmentationonnuScenes
    test mIoU· 2023-03-22
    0.819
    best: 0.851 (DITR)
    Spherical Transformer for LiDAR-based 3D RecognitionarXiv:2303.12766
  • LIDAR Semantic SegmentationonnuScenes
    val mIoU· 2023-03-22
    0.795
    best: 0.842 (DITR)
    Spherical Transformer for LiDAR-based 3D RecognitionarXiv:2303.12766
  • Object DetectiononnuScenes
    NDS
    0.73
    best: 55.3 (LabelDistill)
  • Object DetectiononnuScenes
    mAAE
    0.13
    best: 1 (BirdNet+ (multisweep))
  • Object DetectiononnuScenes
    mAOE
    0.35
    best: 1.6 (PointNet)
  • Object DetectiononnuScenes
    mAP
    0.69
    best: 45.1 (LabelDistill)
  • Object DetectiononnuScenes
    mASE
    0.23
    best: 1 (qww)
  • Object DetectiononnuScenes
    mATE
    0.24
    best: 1.06 (3D-GCK)
  • Object DetectiononnuScenes
    mAVE
    0.19
    best: 2.21 (PointNet)
  • 3D Object DetectiononnuScenes
    NDS
    0.73
    best: 55.3 (LabelDistill)
  • 3D Object DetectiononnuScenes
    mAAE
    0.13
    best: 1 (BirdNet+ (multisweep))
  • 3D Object DetectiononnuScenes
    mAOE
    0.35
    best: 1.6 (PointNet)
  • 3D Object DetectiononnuScenes
    mAP
    0.69
    best: 45.1 (LabelDistill)
  • 3D Object DetectiononnuScenes
    mASE
    0.23
    best: 1 (qww)
  • 3D Object DetectiononnuScenes
    mATE
    0.24
    best: 1.06 (3D-GCK)
  • 3D Object DetectiononnuScenes
    mAVE
    0.19
    best: 2.21 (PointNet)

Medical1 result

  • Semantic SegmentationonWildScenes
    mIoU· 2023-03-22
    33.97
    best: 40.07 (Cylinder3D)
    Spherical Transformer for LiDAR-based 3D RecognitionarXiv:2303.12766

Audio1 result

  • 10-shot image generationonWildScenes
    mIoU· 2023-03-22
    33.97
    best: 40.07 (Cylinder3D)
    Spherical Transformer for LiDAR-based 3D RecognitionarXiv:2303.12766