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Models/LaserMix (Range View)

LaserMix (Range View)

Reported on 24 benchmarks across 2 tasks · 1 paper · 6 SOTA

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

Medical12 results

  • Semantic SegmentationonScribbleKITTI
    mIoU (10% Labels)· 2022-06-30
    54.4
    SOTA
    LaserMix for Semi-Supervised LiDAR Semantic SegmentationarXiv:2207.00026
  • Semantic SegmentationonScribbleKITTI
    mIoU (20% Labels)· 2022-06-30
    55.6
    SOTA
    LaserMix for Semi-Supervised LiDAR Semantic SegmentationarXiv:2207.00026
  • Semantic SegmentationonScribbleKITTI
    mIoU (50% Labels)· 2022-06-30
    58.7
    SOTA
    LaserMix for Semi-Supervised LiDAR Semantic SegmentationarXiv:2207.00026
  • Semantic SegmentationonScribbleKITTI
    mIoU (1% Labels)· 2022-06-30
    38.3
    best: 44.2 (LaserMix (Voxel))
    LaserMix for Semi-Supervised LiDAR Semantic SegmentationarXiv:2207.00026
  • Semantic SegmentationonSemanticKITTI
    mIoU (1% Labels)· 2022-06-30
    43.4
    best: 61.1 (PLE (Voxel))
    LaserMix for Semi-Supervised LiDAR Semantic SegmentationarXiv:2207.00026
  • Semantic SegmentationonSemanticKITTI
    mIoU (10% Labels)· 2022-06-30
    58.8
    best: 64 (SAPCA (Cylinder3D))
    LaserMix for Semi-Supervised LiDAR Semantic SegmentationarXiv:2207.00026
  • Semantic SegmentationonSemanticKITTI
    mIoU (20% Labels)· 2022-06-30
    59.4
    best: 64.2 (360° from a Single Camera: A Few-Shot Approach for LiDAR Segmentation (All))
    LaserMix for Semi-Supervised LiDAR Semantic SegmentationarXiv:2207.00026
  • Semantic SegmentationonSemanticKITTI
    mIoU (50% Labels)· 2022-06-30
    61.4
    best: 66.1 (360° from a Single Camera: A Few-Shot Approach for LiDAR Segmentation (All))
    LaserMix for Semi-Supervised LiDAR Semantic SegmentationarXiv:2207.00026
  • Semantic SegmentationonnuScenes
    mIoU (1% Labels)· 2022-06-30
    49.5
    best: 62.9 (PLE (Voxel))
    LaserMix for Semi-Supervised LiDAR Semantic SegmentationarXiv:2207.00026
  • Semantic SegmentationonnuScenes
    mIoU (10% Labels)· 2022-06-30
    68.2
    best: 74.3 (PLE (Voxel))
    LaserMix for Semi-Supervised LiDAR Semantic SegmentationarXiv:2207.00026
  • Semantic SegmentationonnuScenes
    mIoU (20% Labels)· 2022-06-30
    70.6
    best: 76 (PLE (Voxel))
    LaserMix for Semi-Supervised LiDAR Semantic SegmentationarXiv:2207.00026
  • Semantic SegmentationonnuScenes
    mIoU (50% Labels)· 2022-06-30
    73
    best: 76.1 (PLE (Voxel))
    LaserMix for Semi-Supervised LiDAR Semantic SegmentationarXiv:2207.00026

Audio12 results

  • 10-shot image generationonScribbleKITTI
    mIoU (10% Labels)· 2022-06-30
    54.4
    SOTA
    LaserMix for Semi-Supervised LiDAR Semantic SegmentationarXiv:2207.00026
  • 10-shot image generationonScribbleKITTI
    mIoU (20% Labels)· 2022-06-30
    55.6
    SOTA
    LaserMix for Semi-Supervised LiDAR Semantic SegmentationarXiv:2207.00026
  • 10-shot image generationonScribbleKITTI
    mIoU (50% Labels)· 2022-06-30
    58.7
    SOTA
    LaserMix for Semi-Supervised LiDAR Semantic SegmentationarXiv:2207.00026
  • 10-shot image generationonScribbleKITTI
    mIoU (1% Labels)· 2022-06-30
    38.3
    best: 44.2 (LaserMix (Voxel))
    LaserMix for Semi-Supervised LiDAR Semantic SegmentationarXiv:2207.00026
  • 10-shot image generationonSemanticKITTI
    mIoU (1% Labels)· 2022-06-30
    43.4
    best: 61.1 (PLE (Voxel))
    LaserMix for Semi-Supervised LiDAR Semantic SegmentationarXiv:2207.00026
  • 10-shot image generationonSemanticKITTI
    mIoU (10% Labels)· 2022-06-30
    58.8
    best: 64 (SAPCA (Cylinder3D))
    LaserMix for Semi-Supervised LiDAR Semantic SegmentationarXiv:2207.00026
  • 10-shot image generationonSemanticKITTI
    mIoU (20% Labels)· 2022-06-30
    59.4
    best: 64.2 (360° from a Single Camera: A Few-Shot Approach for LiDAR Segmentation (All))
    LaserMix for Semi-Supervised LiDAR Semantic SegmentationarXiv:2207.00026
  • 10-shot image generationonSemanticKITTI
    mIoU (50% Labels)· 2022-06-30
    61.4
    best: 66.1 (360° from a Single Camera: A Few-Shot Approach for LiDAR Segmentation (All))
    LaserMix for Semi-Supervised LiDAR Semantic SegmentationarXiv:2207.00026
  • 10-shot image generationonnuScenes
    mIoU (1% Labels)· 2022-06-30
    49.5
    best: 62.9 (PLE (Voxel))
    LaserMix for Semi-Supervised LiDAR Semantic SegmentationarXiv:2207.00026
  • 10-shot image generationonnuScenes
    mIoU (10% Labels)· 2022-06-30
    68.2
    best: 74.3 (PLE (Voxel))
    LaserMix for Semi-Supervised LiDAR Semantic SegmentationarXiv:2207.00026
  • 10-shot image generationonnuScenes
    mIoU (20% Labels)· 2022-06-30
    70.6
    best: 76 (PLE (Voxel))
    LaserMix for Semi-Supervised LiDAR Semantic SegmentationarXiv:2207.00026
  • 10-shot image generationonnuScenes
    mIoU (50% Labels)· 2022-06-30
    73
    best: 76.1 (PLE (Voxel))
    LaserMix for Semi-Supervised LiDAR Semantic SegmentationarXiv:2207.00026