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Models/PLE (CENet, Range view)

PLE (CENet, Range view)

Reported on 8 benchmarks across 2 tasks · 1 paper

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

Medical4 results

Semantic SegmentationonSemanticKITTI
mIoU (0.5% Labels)· 2024-10-09
46.2
best: 52.2 (PLE (Voxel))
Learning from Spatio-temporal Correlation for Semi-Supervised LiDAR Semantic Segmentation arXiv:2410.06893
Semantic SegmentationonSemanticKITTI
mIoU (1% Labels)· 2024-10-09
51.5
best: 61.1 (PLE (Voxel))
Learning from Spatio-temporal Correlation for Semi-Supervised LiDAR Semantic Segmentation arXiv:2410.06893
Semantic SegmentationonSemanticKITTI
mIoU (2% Labels)· 2024-10-09
54.3
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
58.1
best: 62.8 (PLE (Voxel))
Learning from Spatio-temporal Correlation for Semi-Supervised LiDAR Semantic Segmentation arXiv:2410.06893

Audio4 results

10-shot image generationonSemanticKITTI
mIoU (0.5% Labels)· 2024-10-09
46.2
best: 52.2 (PLE (Voxel))
Learning from Spatio-temporal Correlation for Semi-Supervised LiDAR Semantic Segmentation arXiv:2410.06893
10-shot image generationonSemanticKITTI
mIoU (1% Labels)· 2024-10-09
51.5
best: 61.1 (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
54.3
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
58.1
best: 62.8 (PLE (Voxel))
Learning from Spatio-temporal Correlation for Semi-Supervised LiDAR Semantic Segmentation arXiv:2410.06893