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Semantic Segmentation on nuScenes (test)

85.1mIoUDITR
68.77273.01177.2581.489Jul 10, 2022Feb 25, 2023Oct 13, 2023May 30, 2024Jan 15, 2025Sep 2, 2025Apr 21, 2026

Evaluation results

MethodLinks
DITRModality=2D-3D fusion2025.0385.1——————————————————
Flash3Dconstraint=Same memory costs as PTv32024.1283.6——————————————————
PTv3 + M3NetYear=20242023.1283.1——————————————————
Flash3Dconstraint=Same parameters as PTv32024.1283.1——————————————————
PTv3 + PPTYear=20242023.1283——————————————————
PTv3Training Protocol=Multi-dataset joint training (PPT [92])2023.1283——————————————————
PTv3 + PPTYear=20242023.0883——————————————————
PPT + PTv3Params.=46.3M, Training Protocol=supervised pre-training (fine-tuned)2023.0883——————————————————
PTv3/PPT#Params=46.3M, Joint training=true2026.0483——————————————————
PTv3Year=20242023.1282.7——————————————————
PTv3Training Protocol=Trained from scratch2023.1282.7——————————————————
PTv3Year=20242023.0882.7——————————————————
PTv3Params.=46.2M2023.0882.7——————————————————
PTv32024.1282.7——————————————————
PTv3Modality=3D-only2025.0382.7——————————————————
PTv3#Params=46.1M, Joint training=false2026.0482.7——————————————————
PTv2Year=20222023.1282.6——————————————————
PTv2Training Protocol=Trained from scratch2023.1282.6——————————————————
PTv2Year=20222023.0882.6——————————————————
PTv22024.1282.6——————————————————
PTv2Modality=3D-only2025.0382.6——————————————————
PTv2#Params=12.8M, Joint training=false2026.0482.6——————————————————
Volt-B#Params=94.3M, Joint training=true2026.0482.2——————————————————
SphereFormerInput=L2023.0381.991.783.339.294.792.577.584.284.479.188.478.397.96981.577.293.490.2—
SphereFormerInput Modality=LiDAR2023.0381.991.783.339.294.792.577.584.284.479.188.478.397.96981.577.293.490.2—
SphereFormerYear=20232023.1281.9——————————————————
SphereFormerTraining Protocol=Trained from scratch2023.1281.9——————————————————
SphereFormerYear=20232023.0881.9——————————————————
SphereFormerParams.=32.3M2023.0881.9——————————————————
SphereFormer2024.1281.9——————————————————
SphereFormerModality=3D-only2025.0381.9——————————————————
SphereFormer#Params=32.3M, Joint training=false2026.0481.9——————————————————
MSeg3DModality=2D-3D fusion2025.0381.1——————————————————
2DPASSInput=L2022.0780.890.181.755.39291.873.386.578.572.584.775.597.669.179.975.590.28844
2DPASSInput=L2023.0380.890.181.755.39291.873.386.578.572.584.775.597.669.179.975.590.288—
2DPASSInput Modality=LiDAR2023.0380.890.181.755.39291.873.386.578.572.584.775.597.669.179.975.590.288—
2DPASSYear=20222023.1280.8——————————————————
2DPASSTraining Protocol=Trained from scratch2023.1280.8——————————————————
2DPASSYear=20222023.0880.8——————————————————
2DPASSModality=2D-3D fusion2025.0380.8——————————————————
4D-FormerModality=2D-3D fusion2025.0380.4——————————————————
RangeFormerYear=20232023.1280.1——————————————————
RangeFormerYear=20232023.0880.1——————————————————
2D3DNetInput=L+C2022.078090.18359.48885.163.784.4827684.871.996.967.479.87692.189.2—
2D3DNetInput=L+C2023.038090.18359.48885.163.784.4827684.871.996.967.479.87692.189.2—
2D3DNetInput Modality=LiDAR+Camera2023.038090.18359.48885.163.784.4827684.871.996.967.479.87692.189.2—
LCPSModality=2D-3D fusion2025.0378.9——————————————————
(AF)2-S3NetInput=L2022.0778.388.578.952.289.984.277.474.377.37283.973.897.166.577.57487.786.8270
(AF)2-S3NetInput=L2023.0378.388.578.952.289.984.277.474.377.37283.973.897.166.577.57487.786.8—
(AF)2-S3NetInput Modality=LiDAR2023.0378.388.578.952.289.984.277.474.377.37283.973.897.166.577.57487.786.8—
AF2S3NetTraining Protocol=Trained from scratch2023.1278——————————————————
AF2S3Net2024.1278——————————————————
BaselineInput=L2022.0777.688.580.837.992.790.565.477.671.570.983.175.39769.378.175.689.186.844
SPVCNNInput=L2022.0777.489.7803091.990.864.77975.670.98174.697.469.28076.189.387.163
SPVCNNInput=L2023.0377.489.7803091.990.864.77975.670.98174.697.469.28076.189.387.1—
SPVCNNInput Modality=LiDAR2023.0377.489.7803091.990.864.77975.670.98174.697.469.28076.189.387.1—
SPVNASParams.=10.8M2023.0877.4——————————————————
AMVNetInput=L2022.0777.390.180.63281.788.967.184.376.173.584.967.397.567.479.475.591.588.785
AMVNetInput=L2023.0377.390.180.63281.788.967.184.376.173.584.967.397.567.479.475.591.588.7—
AMVNetInput Modality=LiDAR2023.0377.390.180.63281.788.967.184.376.173.584.967.397.567.479.475.591.588.7—
Cylinder3DInput=L2022.0777.289.982.829.884.389.46379.377.273.484.669.197.770.280.375.590.487.663
Cylinder3DInput=L2023.0377.289.982.829.884.389.46379.377.273.484.669.197.770.280.375.590.487.6—
Cylinder3DInput Modality=LiDAR2023.0377.289.982.829.884.389.46379.377.273.484.669.197.770.280.375.590.487.6—
Cylinder3DYear=20212023.1277.2——————————————————
Cylinder3DTraining Protocol=Trained from scratch2023.1277.2——————————————————
Cylinder3DYear=20212023.0877.2——————————————————
Cylinder3DParams.=26.1M2023.0877.2——————————————————
Cylinder3D2024.1277.2——————————————————
Cylinder3DModality=3D-only2025.0377.2——————————————————
Cylinder3D#Params=26.1M, Joint training=false2026.0477.2——————————————————
PMFInput=L+C2022.07778982408188647980768167976878749088125
PMFInput=L+C2023.03778982408188647980768167976878749088—
PMFInput Modality=LiDAR+Camera2023.03778982408188647980768167976878749088—
PVKDYear=20222023.1276——————————————————
PVKDYear=20222023.0876——————————————————
JS3C-NetInput=L2022.0773.688.180.126.287.884.555.272.671.366.376.871.296.864.576.974.187.586.1—
JS3C-NetInput=L2023.0373.688.180.126.287.884.555.272.671.366.376.871.296.864.576.974.187.586.1—
JS3C-NetInput Modality=LiDAR2023.0373.688.180.126.287.884.555.272.671.366.376.871.296.864.576.974.187.586.1—
PolarNetInput=L2022.0769.487.472.216.87786.551.169.764.854.169.763.596.667.177.772.187.184.5—
PolarNetInput=L2023.0369.487.472.216.87786.551.169.764.854.169.763.596.667.177.772.187.184.5—
PolarNetInput Modality=LiDAR2023.0369.487.472.216.87786.551.169.764.854.169.763.596.667.177.772.187.184.5—