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Models/RandLANet

RandLANet

Reported on 6 benchmarks across 3 tasks · 1 paper · 6 SOTA

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

Medical2 results

Semantic SegmentationonToronto-3D
OA· 2019-11-25
93.5
best: 95.5 (SCF-Net)
SOTA
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds arXiv:1911.11236
Semantic SegmentationonToronto-3D
mIoU· 2019-11-25
68.4
best: 73.6 (SCF-Net)
SOTA
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds arXiv:1911.11236

Computer Vision2 results

3D Semantic SegmentationonToronto-3D
OA· 2019-11-25
93.5
best: 95.5 (SCF-Net)
SOTA
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds arXiv:1911.11236
3D Semantic SegmentationonToronto-3D
mIoU· 2019-11-25
68.4
best: 73.6 (SCF-Net)
SOTA
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds arXiv:1911.11236

Audio2 results

10-shot image generationonToronto-3D
OA· 2019-11-25
93.5
best: 95.5 (SCF-Net)
SOTA
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds arXiv:1911.11236
10-shot image generationonToronto-3D
mIoU· 2019-11-25
68.4
best: 73.6 (SCF-Net)
SOTA
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds arXiv:1911.11236