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Models/RandLA-Net

RandLA-Net

Reported on 14 benchmarks across 2 tasks · 1 paper · 8 SOTA

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

Medical7 results

Semantic SegmentationonSemantic3D
oAcc· 2019-11-25
94.8
SOTA
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds arXiv:1911.11236
Semantic SegmentationonToronto-3D L002
mIoU· 2019-11-25
74.3
best: 81.13 (EyeNet)
SOTA
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds arXiv:1911.11236
Semantic SegmentationonS3DIS
mAcc· 2019-11-25
81.5
best: 89.9 (Sonata + PTv3)
SOTA
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds arXiv:1911.11236
Semantic SegmentationonS3DIS
mIoU· 2019-11-25
68.5
best: 76 (Superpoint Transformer)
SOTA
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds arXiv:1911.11236
Semantic SegmentationonToronto-3D L002
oAcc· 2019-11-25
88.4
best: 94.63 (EyeNet)
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds arXiv:1911.11236
Semantic SegmentationonS3DIS
Params (M)· 2019-11-25
1.2
best: 41.6 (PointNeXt-XL)
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds arXiv:1911.11236
Semantic SegmentationonS3DIS
oAcc· 2019-11-25
87.1
best: 93.3 (Sonata + PTv3)
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds arXiv:1911.11236

Audio7 results

10-shot image generationonSemantic3D
oAcc· 2019-11-25
94.8
SOTA
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds arXiv:1911.11236
10-shot image generationonToronto-3D L002
mIoU· 2019-11-25
74.3
best: 81.13 (EyeNet)
SOTA
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds arXiv:1911.11236
10-shot image generationonS3DIS
mAcc· 2019-11-25
81.5
best: 89.9 (Sonata + PTv3)
SOTA
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds arXiv:1911.11236
10-shot image generationonS3DIS
mIoU· 2019-11-25
68.5
best: 76 (Superpoint Transformer)
SOTA
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds arXiv:1911.11236
10-shot image generationonToronto-3D L002
oAcc· 2019-11-25
88.4
best: 94.63 (EyeNet)
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds arXiv:1911.11236
10-shot image generationonS3DIS
Params (M)· 2019-11-25
1.2
best: 41.6 (PointNeXt-XL)
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds arXiv:1911.11236
10-shot image generationonS3DIS
oAcc· 2019-11-25
87.1
best: 93.3 (Sonata + PTv3)
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds arXiv:1911.11236