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Models/LaserMix (Voxel)

LaserMix (Voxel)

Reported on 36 benchmarks across 2 tasks · 2 papers · 12 SOTA

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

Medical18 results

Semantic SegmentationonScribbleKITTI
mIoU (1% Labels)· 2022-06-30
44.2
SOTA
LaserMix for Semi-Supervised LiDAR Semantic Segmentation arXiv:2207.00026
Semantic SegmentationonSemanticKITTI
mIoU (20% Labels)· 2022-06-30
61.9
best: 64.2 (360° from a Single Camera: A Few-Shot Approach for LiDAR Segmentation (All))
SOTA
LaserMix for Semi-Supervised LiDAR Semantic Segmentation arXiv:2207.00026
Semantic SegmentationonnuScenes
mIoU (1% Labels)· 2022-06-30
55.3
best: 62.9 (PLE (Voxel))
SOTA
LaserMix for Semi-Supervised LiDAR Semantic Segmentation arXiv:2207.00026
Semantic SegmentationonnuScenes
mIoU (10% Labels)· 2022-06-30
69.9
best: 74.3 (PLE (Voxel))
SOTA
LaserMix for Semi-Supervised LiDAR Semantic Segmentation arXiv:2207.00026
Semantic SegmentationonnuScenes
mIoU (20% Labels)· 2022-06-30
71.8
best: 76 (PLE (Voxel))
SOTA
LaserMix for Semi-Supervised LiDAR Semantic Segmentation arXiv:2207.00026
Semantic SegmentationonnuScenes
mIoU (50% Labels)· 2022-06-30
73.2
best: 76.1 (PLE (Voxel))
SOTA
LaserMix for Semi-Supervised LiDAR Semantic Segmentation arXiv:2207.00026
Semantic SegmentationonSemanticKITTI
mIoU (0.5% Labels)· 2024-10-09
47.3
best: 52.2 (PLE (Voxel))
Learning from Spatio-temporal Correlation for Semi-Supervised LiDAR Semantic Segmentation arXiv:2410.06893
Semantic SegmentationonSemanticKITTI
mIoU (2% Labels)· 2024-10-09
59.2
best: 62.9 (PLE (Voxel))
Learning from Spatio-temporal Correlation for Semi-Supervised LiDAR Semantic Segmentation arXiv:2410.06893
Semantic SegmentationonSemanticKITTI
mIoU (5% Labels)· 2024-10-09
61.7
best: 62.8 (PLE (Voxel))
Learning from Spatio-temporal Correlation for Semi-Supervised LiDAR Semantic Segmentation arXiv:2410.06893
Semantic SegmentationonnuScenes
mIoU (0.5% Labels)· 2024-10-09
51.4
best: 58 (PLE (Voxel))
Learning from Spatio-temporal Correlation for Semi-Supervised LiDAR Semantic Segmentation arXiv:2410.06893
Semantic SegmentationonnuScenes
mIoU (2% Labels)· 2024-10-09
63.9
best: 67.2 (PLE (Voxel))
Learning from Spatio-temporal Correlation for Semi-Supervised LiDAR Semantic Segmentation arXiv:2410.06893
Semantic SegmentationonnuScenes
mIoU (5% Labels)· 2024-10-09
69.7
best: 72.8 (PLE (Voxel))
Learning from Spatio-temporal Correlation for Semi-Supervised LiDAR Semantic Segmentation arXiv:2410.06893
Semantic SegmentationonScribbleKITTI
mIoU (10% Labels)· 2022-06-30
53.7
best: 54.4 (LaserMix (Range View))
LaserMix for Semi-Supervised LiDAR Semantic Segmentation arXiv:2207.00026
Semantic SegmentationonScribbleKITTI
mIoU (20% Labels)· 2022-06-30
55.1
best: 55.6 (LaserMix (Range View))
LaserMix for Semi-Supervised LiDAR Semantic Segmentation arXiv:2207.00026
Semantic SegmentationonScribbleKITTI
mIoU (50% Labels)· 2022-06-30
56.8
best: 58.7 (LaserMix (Range View))
LaserMix for Semi-Supervised LiDAR Semantic Segmentation arXiv:2207.00026
Semantic SegmentationonSemanticKITTI
mIoU (1% Labels)· 2022-06-30
50.6
best: 61.1 (PLE (Voxel))
LaserMix for Semi-Supervised LiDAR Semantic Segmentation arXiv:2207.00026
Semantic SegmentationonSemanticKITTI
mIoU (10% Labels)· 2022-06-30
60
best: 64 (SAPCA (Cylinder3D))
LaserMix for Semi-Supervised LiDAR Semantic Segmentation arXiv:2207.00026
Semantic SegmentationonSemanticKITTI
mIoU (50% Labels)· 2022-06-30
62.3
best: 66.1 (360° from a Single Camera: A Few-Shot Approach for LiDAR Segmentation (All))
LaserMix for Semi-Supervised LiDAR Semantic Segmentation arXiv:2207.00026

Audio18 results

10-shot image generationonScribbleKITTI
mIoU (1% Labels)· 2022-06-30
44.2
SOTA
LaserMix for Semi-Supervised LiDAR Semantic Segmentation arXiv:2207.00026
10-shot image generationonSemanticKITTI
mIoU (20% Labels)· 2022-06-30
61.9
best: 64.2 (360° from a Single Camera: A Few-Shot Approach for LiDAR Segmentation (All))
SOTA
LaserMix for Semi-Supervised LiDAR Semantic Segmentation arXiv:2207.00026
10-shot image generationonnuScenes
mIoU (1% Labels)· 2022-06-30
55.3
best: 62.9 (PLE (Voxel))
SOTA
LaserMix for Semi-Supervised LiDAR Semantic Segmentation arXiv:2207.00026
10-shot image generationonnuScenes
mIoU (10% Labels)· 2022-06-30
69.9
best: 74.3 (PLE (Voxel))
SOTA
LaserMix for Semi-Supervised LiDAR Semantic Segmentation arXiv:2207.00026
10-shot image generationonnuScenes
mIoU (20% Labels)· 2022-06-30
71.8
best: 76 (PLE (Voxel))
SOTA
LaserMix for Semi-Supervised LiDAR Semantic Segmentation arXiv:2207.00026
10-shot image generationonnuScenes
mIoU (50% Labels)· 2022-06-30
73.2
best: 76.1 (PLE (Voxel))
SOTA
LaserMix for Semi-Supervised LiDAR Semantic Segmentation arXiv:2207.00026
10-shot image generationonSemanticKITTI
mIoU (0.5% Labels)· 2024-10-09
47.3
best: 52.2 (PLE (Voxel))
Learning from Spatio-temporal Correlation for Semi-Supervised LiDAR Semantic Segmentation arXiv:2410.06893
10-shot image generationonSemanticKITTI
mIoU (2% Labels)· 2024-10-09
59.2
best: 62.9 (PLE (Voxel))
Learning from Spatio-temporal Correlation for Semi-Supervised LiDAR Semantic Segmentation arXiv:2410.06893
10-shot image generationonSemanticKITTI
mIoU (5% Labels)· 2024-10-09
61.7
best: 62.8 (PLE (Voxel))
Learning from Spatio-temporal Correlation for Semi-Supervised LiDAR Semantic Segmentation arXiv:2410.06893
10-shot image generationonnuScenes
mIoU (0.5% Labels)· 2024-10-09
51.4
best: 58 (PLE (Voxel))
Learning from Spatio-temporal Correlation for Semi-Supervised LiDAR Semantic Segmentation arXiv:2410.06893
10-shot image generationonnuScenes
mIoU (2% Labels)· 2024-10-09
63.9
best: 67.2 (PLE (Voxel))
Learning from Spatio-temporal Correlation for Semi-Supervised LiDAR Semantic Segmentation arXiv:2410.06893
10-shot image generationonnuScenes
mIoU (5% Labels)· 2024-10-09
69.7
best: 72.8 (PLE (Voxel))
Learning from Spatio-temporal Correlation for Semi-Supervised LiDAR Semantic Segmentation arXiv:2410.06893
10-shot image generationonScribbleKITTI
mIoU (10% Labels)· 2022-06-30
53.7
best: 54.4 (LaserMix (Range View))
LaserMix for Semi-Supervised LiDAR Semantic Segmentation arXiv:2207.00026
10-shot image generationonScribbleKITTI
mIoU (20% Labels)· 2022-06-30
55.1
best: 55.6 (LaserMix (Range View))
LaserMix for Semi-Supervised LiDAR Semantic Segmentation arXiv:2207.00026
10-shot image generationonScribbleKITTI
mIoU (50% Labels)· 2022-06-30
56.8
best: 58.7 (LaserMix (Range View))
LaserMix for Semi-Supervised LiDAR Semantic Segmentation arXiv:2207.00026
10-shot image generationonSemanticKITTI
mIoU (1% Labels)· 2022-06-30
50.6
best: 61.1 (PLE (Voxel))
LaserMix for Semi-Supervised LiDAR Semantic Segmentation arXiv:2207.00026
10-shot image generationonSemanticKITTI
mIoU (10% Labels)· 2022-06-30
60
best: 64 (SAPCA (Cylinder3D))
LaserMix for Semi-Supervised LiDAR Semantic Segmentation arXiv:2207.00026
10-shot image generationonSemanticKITTI
mIoU (50% Labels)· 2022-06-30
62.3
best: 66.1 (360° from a Single Camera: A Few-Shot Approach for LiDAR Segmentation (All))
LaserMix for Semi-Supervised LiDAR Semantic Segmentation arXiv:2207.00026