TasksSotADatasetsPapersMethodsSubmitAbout
Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable BenchmarksAll SotADatasetsPapersMethods

Community

Submit ResultsAbout

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

Models/CBST (Range View)

CBST (Range View)

Reported on 24 benchmarks across 2 tasks

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

Medical12 results

  • Semantic SegmentationonScribbleKITTI
    mIoU (1% Labels)
    35.7
    best: 44.2 (LaserMix (Voxel))
  • Semantic SegmentationonScribbleKITTI
    mIoU (10% Labels)
    50.7
    best: 54.4 (LaserMix (Range View))
  • Semantic SegmentationonScribbleKITTI
    mIoU (20% Labels)
    52.7
    best: 55.6 (LaserMix (Range View))
  • Semantic SegmentationonScribbleKITTI
    mIoU (50% Labels)
    54.6
    best: 58.7 (LaserMix (Range View))
  • Semantic SegmentationonSemanticKITTI
    mIoU (1% Labels)
    39.9
    best: 61.1 (PLE (Voxel))
  • Semantic SegmentationonSemanticKITTI
    mIoU (10% Labels)
    53.4
    best: 64 (SAPCA (Cylinder3D))
  • Semantic SegmentationonSemanticKITTI
    mIoU (20% Labels)
    56.1
    best: 64.2 (360° from a Single Camera: A Few-Shot Approach for LiDAR Segmentation (All))
  • Semantic SegmentationonSemanticKITTI
    mIoU (50% Labels)
    56.9
    best: 66.1 (360° from a Single Camera: A Few-Shot Approach for LiDAR Segmentation (All))
  • Semantic SegmentationonnuScenes
    mIoU (1% Labels)
    40.9
    best: 62.9 (PLE (Voxel))
  • Semantic SegmentationonnuScenes
    mIoU (10% Labels)
    60.5
    best: 74.3 (PLE (Voxel))
  • Semantic SegmentationonnuScenes
    mIoU (20% Labels)
    64.3
    best: 76 (PLE (Voxel))
  • Semantic SegmentationonnuScenes
    mIoU (50% Labels)
    69.3
    best: 76.1 (PLE (Voxel))

Audio12 results

  • 10-shot image generationonScribbleKITTI
    mIoU (1% Labels)
    35.7
    best: 44.2 (LaserMix (Voxel))
  • 10-shot image generationonScribbleKITTI
    mIoU (10% Labels)
    50.7
    best: 54.4 (LaserMix (Range View))
  • 10-shot image generationonScribbleKITTI
    mIoU (20% Labels)
    52.7
    best: 55.6 (LaserMix (Range View))
  • 10-shot image generationonScribbleKITTI
    mIoU (50% Labels)
    54.6
    best: 58.7 (LaserMix (Range View))
  • 10-shot image generationonSemanticKITTI
    mIoU (1% Labels)
    39.9
    best: 61.1 (PLE (Voxel))
  • 10-shot image generationonSemanticKITTI
    mIoU (10% Labels)
    53.4
    best: 64 (SAPCA (Cylinder3D))
  • 10-shot image generationonSemanticKITTI
    mIoU (20% Labels)
    56.1
    best: 64.2 (360° from a Single Camera: A Few-Shot Approach for LiDAR Segmentation (All))
  • 10-shot image generationonSemanticKITTI
    mIoU (50% Labels)
    56.9
    best: 66.1 (360° from a Single Camera: A Few-Shot Approach for LiDAR Segmentation (All))
  • 10-shot image generationonnuScenes
    mIoU (1% Labels)
    40.9
    best: 62.9 (PLE (Voxel))
  • 10-shot image generationonnuScenes
    mIoU (10% Labels)
    60.5
    best: 74.3 (PLE (Voxel))
  • 10-shot image generationonnuScenes
    mIoU (20% Labels)
    64.3
    best: 76 (PLE (Voxel))
  • 10-shot image generationonnuScenes
    mIoU (50% Labels)
    69.3
    best: 76.1 (PLE (Voxel))