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LiDAR Semantic Segmentation on nuScenes official (test)

84.6mIoUTASeg
76.69678.74880.882.852Oct 21, 2021Aug 2, 2022May 14, 2023Feb 24, 2024Dec 5, 2024Sep 16, 2025Jun 29, 2026

Evaluation results

MethodLinks
TASegRepresentation=Multi-View, Param=46.7M, FPS=6.12023.1284.6—————————————————
UniSegPoint Cloud Backbone=Minkowski-UNet34, Range Image Backbone=SalsaNext, Voxel Size=0.12023.0983.585.971.292.191.680.58880.97686.376.797.771.880.776.791.388.8—
UniSeg2023.0983.585.971.292.191.680.58880.97686.376.797.771.880.776.791.388.8—
UniSeg2023.0983.585.971.292.191.680.58880.97686.376.797.771.880.776.791.388.8—
UniSegRepresentation=Multi-View, Param=147.6M, FPS=6.92023.1283.5—————————————————
M3Net2024.0583.1—————————————————
PTv3SSL pretraining=false2025.0282.7————————————————91.1
PTv3Representation=Raw Points, Param=46.2M, FPS=20.22023.1282.7—————————————————
PTv2+2024.0582.6—————————————————
PTv2SSL pretraining=false2025.0282.6—————————————————
NOMAESSL pretraining=true2025.0282.6————————————————91.5
PTv2Representation=Raw Points, Param=12.8M, FPS=4.72023.1282.6—————————————————
FRNet2024.0582.5—————————————————
FRNetRepresentation=Frustum-Range, Param=10.0M, FPS=29.12023.1282.5—————————————————
Fast-FRNetRepresentation=Frustum-Range, Param=7.5M, FPS=33.82023.1282.1—————————————————
SphereFormer2024.0581.9—————————————————
SphereFormer2024.0781.9—————————————————
SphereFormerSSL pretraining=false2025.0281.9—————————————————
SphereFormerRepresentation=Multi-View, Param=32.3M, FPS=4.92023.1281.9—————————————————
LidarMultiNetInput Modality=LiDAR2023.0281.480.448.494.39071.587.285.280.486.974.897.867.380.776.592.189.6—
LidarMultiNetInput Modality=LiDAR2023.0481.480.448.494.39071.587.285.280.486.974.897.867.380.776.592.189.6—
LidarMultiNet2023.0981.480.448.494.39071.587.285.280.486.974.897.867.380.776.592.189.6—
LidarMultiNet2023.0981.480.448.494.39071.587.285.280.486.974.897.867.380.776.592.189.6—
LidarMultiNet2023.0981.4—————————————————
LidarMultiNetModality=Multiple2023.0381.4—————————————————
LidarMultiNet2023.0381.480.448.494.39071.587.285.280.486.974.897.867.380.776.592.189.6—
LidarMultiNet2024.0581.4—————————————————
SPVCNN++Input Modality=LiDAR-only, Status=Unpublished2021.1081.1—43.1—92.2——83.4——————————
UniPADSSL pretraining=true2025.0281.1—————————————————
2DPASS2023.0980.881.755.39291.873.386.578.572.584.775.597.669.179.975.590.288—
2DPASS2023.0980.881.755.39291.873.386.578.572.584.775.597.669.179.975.590.288—
2DPASS2023.0980.8—————————————————
2DPASSModality=Multiple2023.0380.8—————————————————
2DPASS2023.0380.881.755.39291.873.386.578.572.584.775.597.669.179.975.590.288—
2DPASSSSL pretraining=false2025.0280.8—————————————————
2DPASSRepresentation=Multi-View, Param=26.5M, FPS=8.42023.1280.8—————————————————
DRINet++Input Modality=LiDAR2023.0280.485.543.290.592.164.7868373.383.975.897718177.791.690.2—
DRINet++Input Modality=LiDAR2023.0480.485.543.290.592.164.7868373.383.975.897718177.791.690.2—
GASN2023.0980.485.543.290.592.164.7868373.383.975.897718177.791.690.2—
GASN2023.0980.485.543.290.592.164.7868373.383.975.897718177.791.690.2—
GASN2023.0980.4—————————————————
GASN2023.0380.485.543.290.592.164.7868373.383.975.897718177.791.690.2—
GU-NetInput Modality=LiDAR-only, Status=Unpublished2021.1080.3—33.4—91.4——81.3——————————
SFPNet2024.0780.2—————————————————
OursVenue=IROS’26, Representation Type=2D Projection Based2026.0680.279.745.69594.757.687.180.769.47486.196.877.678.977.891.390.1—
RangeFormerSize=24.3M, Modality=Range Image2023.0380.1—————————————————
RangeFormer2023.0380.185.647.491.290.970.784.777.174.183.272.697.570.779.275.491.388.9—
WaffleIron2024.0580.1—————————————————
RangeFormer2024.0580.1—————————————————
RangeFormer†Representation=Range View, Param=24.3M, FPS=6.22023.1280.1—————————————————
OursInput Modality=2D and 3D reasoning2021.1080—59.4—85.1——82——————————
2D3DNet2023.09808359.48885.163.784.4827684.871.996.967.479.87692.189.2—
2D3DNet2023.09808359.48885.163.784.4827684.871.996.967.479.87692.189.2—
2D3DNet2023.0980—————————————————
2D3DNet2023.03808359.48885.163.784.4827684.871.996.967.479.87692.189.2—
FRNetVenue=TIP’25, Representation Type=2D Projection Based2026.067978.543.995.493.256.385.87968.572.886.597.175.97776.489.788—
RangeFormer w/ STRSize=24.3M, Wtrain=480, Modality=Range Image2023.0378.7—————————————————
STRW_train=4802023.0378.783.946.39087.269.583.475.573.682.171.79769.178.174.190.187—
SphereFormerVenue=CVPR’23, Representation Type=3D Voxel Based2026.0678.477.743.894.593.152.486.981.265.473.485.39773.475.4759189.2—
AF2S3NetInput Modality=LiDAR-only2021.1078.3—52.2—84.2——77.3——————————
AF2S3NetInput Modality=LiDAR2023.0278.378.952.289.984.277.474.377.37283.973.897.166.577.57487.786.8—
AF2S3NetInput Modality=LiDAR2023.0478.378.952.289.984.277.474.377.37283.973.897.166.577.57487.786.8—
AF2S3Net2023.0978.378.952.289.984.277.474.377.37283.973.897.166.577.57487.786.8—
AF2S3Net2023.0978.378.952.289.984.277.474.377.37283.973.897.166.577.57487.786.8—
AF2S3Net2023.0978.3—————————————————
AF2S3Net2023.0378.378.952.289.984.277.474.377.37283.973.897.166.577.57487.786.8—
(AF)2-S3Net2024.0578.3—————————————————
AF2S3NetSSL pretraining=false2025.0278————————————————88.5
Cylinder3D++Input Modality=LiDAR-only2021.1077.9—33.9—89.4——77.3——————————
Cylinder3D++Input Modality=LiDAR2023.0277.982.833.984.389.469.679.477.373.484.669.497.770.280.375.590.487.6—
Cylinder3D++Input Modality=LiDAR2023.0477.982.833.984.389.469.679.477.373.484.669.497.770.280.375.590.487.6—
Cylinder3D2024.0577.9—————————————————
Cylinder3DRepresentation=Sparse Voxel, Param=55.9M, FPS=6.22023.1277.9—————————————————
CPFusionInput Modality=2D and 3D reasoning2021.1077.7—37—86.2——78.1——————————
SPVNASInput Modality=LiDAR-only2021.1077.4—30—90.8——75.6——————————
SPVNASInput Modality=LiDAR2023.0277.4803091.990.864.77975.670.98174.697.469.28076.189.387.1—
SPVNASInput Modality=LiDAR2023.0477.4803091.990.864.77975.670.98174.697.469.28076.189.387.1—
SPVCNN2023.0977.4803091.990.864.77975.670.98174.697.469.28076.189.387.1—
SPVCNN2023.0977.4803091.990.864.77975.670.98174.697.469.28076.189.387.1—
SPVCNN2023.0977.4—————————————————
SPVNASSize=12.5M, Modality=Sparse Voxel2023.0377.4—————————————————
SPVCNN2023.0377.4803091.990.864.77975.670.98174.697.469.28076.189.387.1—
SPVNASSSL pretraining=false2025.0277.4————————————————89.7
AMVNetInput Modality=LiDAR2023.0277.380.63281.788.967.184.376.173.584.967.397.567.479.475.591.588.7—
AMVNetInput Modality=LiDAR2023.0477.380.63281.788.967.184.376.173.584.967.397.567.479.475.591.588.7—
AMVNet2023.0977.380.63281.788.967.184.376.173.584.967.397.567.479.475.591.588.7—
AMVNet2023.0977.380.63281.788.967.184.376.173.584.967.397.567.479.475.591.588.7—
AMVNet2023.0977.3—————————————————
AMVNetModality=Multiple2023.0377.3—————————————————
AMVNet2023.0377.380.63281.788.967.184.376.173.584.967.397.567.479.475.591.588.7—
AMVNet2024.0577.3—————————————————
Cylinder3D2023.0977.282.829.884.389.46379.377.273.484.669.197.770.280.375.590.487.6—
Cylinder3D2023.0977.282.829.884.389.46379.377.273.484.669.197.770.280.375.590.487.6—
Cylinder3D2023.0977.2—————————————————
Cylinder3DSize=56.3M, Modality=Sparse Voxel2023.0377.2—————————————————
Cylinder3D2023.0377.282.829.884.389.46379.377.273.484.669.197.770.280.375.590.487.6—
Cylinder3D2024.0777.2—————————————————
Cylinder3DSSL pretraining=false2025.0277.2————————————————89.9
PMF2023.097782408188647980768167976878749088—
PMF2023.097782408188647980768167976878749088—