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Semantic Segmentation on nuScenes (val)

81.2mIoU (Segmentation)PPT + PTv3
-2.4326419.2796840.99262.70432Mar 21, 2023Oct 1, 2023Apr 12, 2024Oct 23, 2024May 5, 2025Nov 15, 2025May 29, 2026

Evaluation results

MethodLinks
PPT + PTv3Params.=46.3M, Training Protocol=supervised pre-training (fine-tuned)2023.0881.2———————————————————————
PTv3Params.=46.2M2023.0880.4———————————————————————
PPT + SparseUNetParams.=41.0M, Training Protocol=supervised pre-training (fine-tuned)2023.0878.6———————————————————————
PPT + SparseUNetParams.=41.0M, Training Protocol=supervised joint training2023.0878.5———————————————————————
SphereFormerParams.=32.3M2023.0878.4———————————————————————
Cylinder3DParams.=26.1M2023.0876.1———————————————————————
SparseUNetParams.=39.2M2023.0873.3———————————————————————
DITRModality=2D-3D fusion2025.030.842———————————————————————
LitePT-S#Params=12.7M2025.120.822——————————————————88.1————
UtoniaLearn.=157.7M, Pct.=100%, Evaluation Protocol=f.t.2026.030.822——————————————————88.394.8———
Volt-B#Params=94.3M, Joint training=true2026.040.822———————————————————————
ConcertoLearn.=157.7M, Pct.=100%, Evaluation Protocol=f.t.2026.030.82——————————————————88.194.6———
NOMAEProtocol=Fine-Tuning, Additional Data=false2025.120.818——————————————————87.7————
DOSProtocol=Fine-Tuning, Additional Data=true2025.120.818——————————————————87.8————
NOMAEBackbone=Point Transformer v3, Evaluation Protocol=fine-tuning2026.030.818———————————————————————
Volt-S#Params=23.7M, Joint training=true2026.040.818———————————————————————
SonataModality=3D-only2025.030.817———————————————————————
SonataProtocol=Fine-Tuning, Additional Data=true2025.120.817——————————————————87.9————
SonataEvaluation Protocol=full fine-tuning2025.030.817——————————————————87.995———
SonataLearn.=124.8M, Pct.=100%, Evaluation Protocol=f.t.2026.030.817——————————————————87.995———
DoReMi2025.110.817——————————————————87.494.8———
Flash3Dconstraint=Same memory costs as PTv32024.120.815———————————————————————
DOSProtocol=Fine-Tuning, Additional Data=false2025.120.815——————————————————87.6————
DOSBackbone=Point Transformer v3, Evaluation Protocol=fine-tuning2026.030.815———————————————————————
VaViT-Btest-time augmentation=false, reproduced results=false2026.050.813——0.83679.654.495.293.965.488.87274.187.397.175.37776.291.389.7—————
PTv3 + PPTYear=20242023.120.812———————————————————————
PTv3Training Protocol=Multi-dataset joint training (PPT [92])2023.120.812———————————————————————
PTv3 + PPTYear=20242023.080.812———————————————————————
Flash3Dconstraint=Same parameters as PTv32024.120.812———————————————————————
PPTSupervision=supervised2025.030.812——————————————————87.594.8———
Sonatareproduction=reproduced from official repository2025.110.812——————————————————87.794.8———
PTv3/PPT#Params=46.3M, Joint training=true2026.040.812———————————————————————
RelFlexformer + PointRoPECategory=Performer, Base Model=PTv3, Position Encoding=PointRoPE2026.050.812———————————————————————
PointINSBackbone=Point Transformer v3, Evaluation Protocol=fine-tuning2026.030.811———————————————————————
Volt-S#Params=23.7M, Joint training=false2026.040.81———————————————————————
PTv3 + M3NetYear=20242023.120.809———————————————————————
2DPASSCategory=MLP/CNN/SparseConv2026.050.808———————————————————————
D-DITRProtocol=Fine-Tuning, Additional Data=false2025.120.807———————————————————————
LitePTtest-time augmentation=false, reproduced results=true2026.050.807——0.82879.252.395.794.264.484.868.972.987.79776.777.376.891.189.6—————
Serialized Point Mamba2024.070.806———————————————————————
LCPSModality=2D-3D fusion2025.030.805———————————————————————
PTv3Year=20242023.120.804———————————————————————
PTv3Training Protocol=Trained from scratch2023.120.804———————————————————————
PTv3Year=20242023.080.804———————————————————————
PTv32024.120.804———————————————————————
PTv3Modality=3D-only2025.030.804———————————————————————
PTv3#Params=46.1M2025.120.804——————————————————87.2————
PTv3Protocol=Supervised, Additional Data=false2025.120.804——————————————————87.2————
PTv3Supervision=supervised2025.030.804——————————————————87.294.7———
PTv3Learn.=124.8M, Pct.=100%2026.030.804——————————————————87.294.7———
PTv32025.110.804——————————————————87.294.7———
PTv3#Params=46.1M, Joint training=false2026.040.804———————————————————————
PTv3Category=Transformer2026.050.804———————————————————————
PambaCategory=Mamba2026.050.804———————————————————————
PTv3Params=46.1M, Resolution=τ*2026.050.804——————————————————86.2————
PTv3Evaluation protocol=supervised2026.030.803———————————————————————
PTv3 (sup.)Backbone=Point Transformer v3, Evaluation Protocol=Supervised2026.030.803———————————————————————
RelFlexformerCategory=Performer, Base Model=PTv32026.050.803———————————————————————
PTv2Year=20222023.120.802———————————————————————
PTv2Training Protocol=Trained from scratch2023.120.802———————————————————————
PTv22024.070.802———————————————————————
PTv2Year=20222023.080.802———————————————————————
PTv22024.120.802———————————————————————
PTv2Modality=3D-only2025.030.802———————————————————————
PTv2#Params=12.8M2025.120.802———————————————————————
PTv2#Params=12.8M, Joint training=false2026.040.802———————————————————————
PTv2Category=Transformer2026.050.802———————————————————————
NOMAEBackbone=Point Transformer v3, Evaluation Protocol=decoder tuning2026.030.801———————————————————————
LSK3DNet#Params=28.8M, Joint training=false2026.040.801———————————————————————
MSeg3DModality=2D-3D fusion2025.030.8———————————————————————
PointINSBackbone=Point Transformer v3, Evaluation Protocol=decoder tuning2026.030.8———————————————————————
ConDaFormerTesting-time augmentations=true2023.120.799——0.82979.247.895.394.157.286.66973.687.497.174.876.67691.289.6—————
PTv3Modality=3D-only, Evaluation setup=reproduced2025.030.799———————————————————————
SonataBackbone=Point Transformer v3, Evaluation Protocol=fine-tuning2026.030.796———————————————————————
SphereFormerrotation and translation testing-time augmentations=true2023.030.795——0.81178.746.795.293.75488.96874.286.297.274.376.375.891.489.7—————
SphereFormerTesting-time augmentations=true2023.120.795——0.81178.746.795.293.75488.96874.286.297.274.376.375.891.489.7—————
SphereFormerType=Voxel2023.030.795———————————————————————
2DPASSTesting-time augmentations=true2023.120.794——0.82278.849.695.693.66084.167.572.688.196.872.876.276.589.487.2—————
2DPASSModality=2D-3D fusion2025.030.794———————————————————————
DOSBackbone=Point Transformer v3, Evaluation Protocol=decoder tuning2026.030.792———————————————————————
MinkUNet + M3NetYear=20242023.120.79———————————————————————
MinkUNet + M3NetCategory=MLP/CNN/SparseConv, Enhancement=M3Net2026.050.79———————————————————————
OA-CNNsYear=20242023.120.789———————————————————————
OA-CNNsYear=20242023.080.789———————————————————————
4D-FormerModality=2D-3D fusion2025.030.789———————————————————————
OA-CNNsCategory=MLP/CNN/SparseConv2026.050.789———————————————————————
PTv3test-time augmentation=false, reproduced results=true2026.050.789——0.82279.749.795.693.64684.670.172.98496.974.776.375.590.889.1—————
WaffleIronSupervision level=full supervision2025.070.787———————————————————————
PSABackbone=Point Transformer v3, Evaluation Protocol=fine-tuning2026.030.787———————————————————————
WI-768test-time augmentation=false, reproduced results=false2026.050.787——0.83479.253.292.588.150.487.870.373.584.196.973.375.575.489.986.5—————
MinkUNet + PPTYear=20242023.120.786———————————————————————
MinkUNet + PPTYear=20242023.080.786———————————————————————
MinkUNet + PPTCategory=MLP/CNN/SparseConv, Enhancement=PPT2026.050.786———————————————————————
FlatFormer-Stest-time augmentation=false, reproduced results=true2026.050.786——0.79978.845.494.59358.181.567.271.585.296.874.575.975.490.889.2—————
SphereFormer2023.030.784——0.81277.743.894.593.152.486.965.473.485.39773.475.4759189.2—————
SphereFormerYear=20232023.120.784———————————————————————
SphereFormerTraining Protocol=Trained from scratch2023.120.784———————————————————————
SphereFormer2024.070.784———————————————————————
SphereFormerYear=20232023.080.784———————————————————————
SphereFormerApproach Type=3D Voxel Based2023.110.784——0.81277.743.894.593.152.486.965.473.485.39773.475.4759189.2—————