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LiDAR Semantic Segmentation on nuScenes (val)

82mIoULidarMultiNet
71.18473.99276.879.608Nov 19, 2020Aug 6, 2021Apr 23, 2022Jan 8, 2023Sep 25, 2023Jun 11, 2024Feb 27, 2025

Evaluation results

MethodLinks
LidarMultiNetModality=Multiple2023.0382————————————————————————
NOMAESSL pretraining=true2025.0281.8———————————————————87.7————
M3Net2024.0580.9————————————————————————
PTv3SSL pretraining=false2025.0280.4———————————————————87.3————
PTv3Representation=Raw Points, Param=46.2M, FPS=20.22023.1280.4————————————————————————
PTv2+2024.0580.2————————————————————————
PTv2SSL pretraining=false2025.0280.2————————————————————————
PTv2Representation=Raw Points, Param=12.8M, FPS=4.72023.1280.2————————————————————————
SFPNet2024.0780.1————————————————————————
SFPNetInput=LiDAR2024.0780.178.849.795.393.563.186.482.968.672.886.797—7675.391.289.5——74.7—————
Occupancy-MAE + PTv3SSL pretraining=true, implementation=author implementation2025.0280———————————————————86.1————
SphereFormer2024.0779.5————————————————————————
SphereFormerInput=LiDAR2024.0779.578.746.795.293.75488.981.16874.286.297.2—76.375.891.489.7——74.3—————
2DPASSInput=LiDAR (with Camera guidance)2024.0779.478.849.695.693.66084.182.267.572.688.196.8—76.276.589.487.2——72.8—————
UniPADSSL pretraining=true2025.0279.4————————————————————————
2DPASSRepresentation=Multi-View, Param=26.5M, FPS=8.42023.1279.4————————————————————————
WaffleIron2024.0579.1————————————————————————
WaffleIronRepresentation=Raw Points, Param=6.8M, FPS=7.42023.1279.1————————————————————————
2D3DNet2021.107978.355.195.487.759.479.380.770.268.286.696.1—75.775.191.489.9——74.9—————
FRNet2024.0579————————————————————————
2D3DNetInput=LiDAR+Camera2024.077978.355.195.487.759.479.380.770.268.286.696.1—75.775.191.489.9——74.9—————
FRNetRepresentation=Frustum-Range, Param=10.0M, FPS=29.12023.1279————————————————————————
GEO-MAE + PTv3SSL pretraining=true, implementation=author implementation2025.0278.9———————————————————84.7————
Fast-FRNetRepresentation=Frustum-Range, Param=7.5M, FPS=33.82023.1278.8————————————————————————
GEO-MAESSL pretraining=true2025.0278.6————————————————————————
SphereFormer2024.0578.4————————————————————————
SphereFormerSSL pretraining=false2025.0278.4————————————————————————
SphereFormerRepresentation=Multi-View, Param=32.3M, FPS=4.92023.1278.4————————————————————————
RangeFormerSize=24.3M, Modality=Range Image2023.0378.1————————————————————————
RangeFormer2024.0578.1————————————————————————
RangeFormerInput=LiDAR2024.0778.17845.29492.958.783.977.969.163.785.696.7—75.175.389.187.5——74.5—————
RangeFormer†Representation=Range View, Param=24.3M, FPS=6.22023.1278.1————————————————————————
RPVNetinstance CutMix=false2021.0377.678.243.492.793.24985.780.56666.98496.9—75.97690.688.9——73.5—————
RPVNetSize=24.8M, Modality=Multiple2023.0377.6————————————————————————
RPVNet2024.0577.6————————————————————————
RPVNetInput=LiDAR2024.0777.678.243.492.793.24985.780.56666.98496.9—75.97690.688.9——73.5—————
RPVNetRepresentation=Multi-View, Param=24.8M, FPS=7.92023.1277.6————————————————————————
AMVNet2024.0577.2————————————————————————
RangeFormer w/ STRSize=24.3M, Wtrain=480, Modality=Range Image2023.0377.1————————————————————————
(AF)2-S3Net2024.0577.1————————————————————————
PMFInput=LiDAR+Camera2024.0776.974.146.689.892.75777.780.970.964.682.995.5—73.674.889.487.7——73.3—————
GFNetModality=Multiple2023.0376.8————————————————————————
Cylinder3D2020.1176.176.440.391.293.851.37878.964.962.184.496.871.676.475.490.587.4————————
Cylinder3D2020.1176.176.440.391.293.851.37878.964.962.184.496.871.676.475.490.587.4————————
AMVNet2021.0376.179.832.482.286.462.581.975.372.383.565.197.4—78.874.690.887.9——67—————
Cylindr3D2021.0376.176.440.391.293.851.37878.964.962.184.496.8—76.475.490.587.4——71.6—————
Cylinder3D2021.1076.176.440.391.293.851.37878.964.962.184.496.8—76.475.490.587.4——71.6—————
Cylinder3D2022.0676.176.440.391.293.851.37878.964.962.184.496.871.676.475.490.587.4————————
AMVNetModality=Multiple2023.0376.1————————————————————————
Cylinder3DSize=56.3M, Modality=Sparse Voxel2023.0376.1————————————————————————
Cylinder3D2024.0576.1————————————————————————
Cylinder3D2024.0776.1————————————————————————
AMVNetInput=LiDAR2024.0776.179.832.482.286.462.581.975.372.383.565.197.4—78.874.690.887.9——67—————
Cylinder3DInput=LiDAR2024.0776.176.440.391.293.851.37878.964.962.184.496.8—76.475.490.587.4——71.6—————
PLE + Dual-branchLabel Ratio=50%, Backbone=Cylinder3D, Voxel Resolution=[240, 180, 20]2024.1076.1————————————————————————
Cylinder3DSSL pretraining=false2025.0276.1————————————————————————
Cylinder3DRepresentation=Sparse Voxel, Param=55.9M, FPS=6.22023.1276.1————————————————————————
C3D_0.5xbackbone=Cylinder3D 0.5x, distillation=PVD2022.067676.24090.29450.977.478.864.76284.196.671.476.476.390.386.9————————
PVKD2024.0576————————————————————————
PVKDInput=LiDAR2024.077676.24090.29450.977.478.864.76284.196.6—76.476.390.386.9——71.4—————
PLE + Dual-branchLabel Ratio=20%, Backbone=Cylinder3D, Voxel Resolution=[240, 180, 20]2024.1076————————————————————————
PVKDRepresentation=Sparse Voxel, Param=14.1M, FPS=13.22023.1276————————————————————————
MinkUNetRepresentation=Sparse Voxel, Param=21.7M, FPS=9.12023.1275.8————————————————————————
SparseConv*2021.1075.276.925.491.586.85476.777.96266.48396—75.975.291.389.9——74.7—————
RangeViTModality=Range Image2023.0375.2————————————————————————
RangeViT2024.0575.2————————————————————————
RangeViT-CSInput=LiDAR2024.0775.275.540.788.390.149.379.377.266.365.28096.4—73.873.889.987.2——71.4—————
Sup.-onlyLabel Ratio=100%, Backbone=Cylinder3D, Voxel Resolution=[240, 180, 20]2024.1075.2————————————————————————
LaserMixLabel Ratio=100%, Backbone=Cylinder3D, Voxel Resolution=[240, 180, 20]2024.1075.2————————————————————————
RangeViT†Representation=Range View, Param=23.7M, FPS=10.02023.1275.2————————————————————————
Salsanext2022.0674.834.185.988.442.272.472.263.161.376.59670.871.271.586.784.4—————————
SVASegInput=LiDAR2024.0774.773.144.588.486.648.280.577.765.657.582.196.5—74.774.687.386.9——70.5—————
SPVNASRepresentation=Sparse Voxel, Param=21.8M, FPS=8.92023.1274.4————————————————————————
PLE + Dual-branchLabel Ratio=10%, Backbone=Cylinder3D, Voxel Resolution=[240, 180, 20]2024.1074.3————————————————————————
C3D_0.5xbackbone=Cylinder3D 0.5x, distillation=SKD2022.0674.274.937.387.689.147.576.277.463.259.383.495.970.473.974.390.387.1————————
C3D_0.5xbackbone=Cylinder3D 0.5x, distillation=CD2022.0674.175.436.188.489.346.976.177.662.95884.39670.374.874.690.185.6————————
Sup.-onlyLabel Ratio=50%, Backbone=Cylinder3D, Voxel Resolution=[240, 180, 20]2024.1074————————————————————————
C3D_0.5xbackbone=Cylinder3D 0.5x, distillation=KD2022.0673.975.235.488.388.247.676.877.263.657.383.195.770.175.273.189.285.3————————
C3D_0.5xbackbone=Cylinder3D 0.5x, distillation=KA2022.0673.974.236.388.587.647.176.978.363.557.683.494.970.373.873.288.486.3————————
C3D_0.5xbackbone=Cylinder3D 0.5x, distillation=IFV2022.0673.874.736.688.388.647.276.777.163.158.283.595.170.273.473.888.984.3————————
LaserMixLabel Ratio=20%, Backbone=Cylinder3D, Voxel Resolution=[240, 180, 20]2024.1073.7————————————————————————
LaserMixLabel Ratio=50%, Backbone=Cylinder3D, Voxel Resolution=[240, 180, 20]2024.1073.7————————————————————————
C3D_0.5xbackbone=Cylinder3D 0.5x2022.0673.674.636.288.287.347.976.47763.458.882.395.17073.573.688.785.2————————
CENetSize=6.8M, Modality=Range Image2023.0373.3————————————————————————
MinkUNet2024.0573.3————————————————————————
MinkUNetSSL pretraining=false2025.0273.3————————————————————————
CENetRepresentation=Range View, Param=6.8M, FPS=33.42023.1273.3————————————————————————
Occupancy-MAESSL pretraining=true2025.0272.9————————————————————————
PLE + Dual-branchLabel Ratio=5%, Backbone=Cylinder3D, Voxel Resolution=[240, 180, 20]2024.1072.8————————————————————————
CPSLabel Ratio=50%, Backbone=Cylinder3D, Voxel Resolution=[240, 180, 20]2024.1072.5————————————————————————
Salsanext2020.1172.274.834.185.988.442.272.472.263.161.376.59670.871.271.586.784.4————————
Salsanext2020.1172.274.834.185.988.442.272.472.263.161.376.59670.871.271.586.784.4————————
Salsanext2021.0372.274.834.185.988.442.272.472.263.161.376.596—71.271.586.784.4——70.8—————
SalsaNext2021.1072.274.834.185.988.442.272.472.263.161.376.596—71.271.586.784.4——70.8—————
SalsaNextSize=6.7M, Modality=Range Image2023.0372.2————————————————————————
SalsaNextInput=LiDAR2024.0772.274.834.185.988.442.272.472.263.161.376.596—71.271.586.784.4——70.8—————
PCSCNetInput=LiDAR2024.077273.342.287.886.144.982.276.162.949.377.395.2—69.572.383.782.5——66.9—————
Sup.-onlyLabel Ratio=20%, Backbone=Cylinder3D, Voxel Resolution=[240, 180, 20]2024.1072————————————————————————
CBSTLabel Ratio=50%, Backbone=Cylinder3D, Voxel Resolution=[240, 180, 20]2024.1071.6————————————————————————
LaserMixLabel Ratio=10%, Backbone=Cylinder3D, Voxel Resolution=[240, 180, 20]2024.1071.6————————————————————————