List your company

Semantic Segmentation on SemanticKITTI (val)

74.2mIoUAF2S3Net
66.50468.50270.572.498Aug 4, 2022Mar 24, 2023Nov 11, 2023Jul 1, 2024Feb 18, 2025Oct 8, 2025May 29, 2026

Evaluation results

MethodLinks
AF2S3NetTraining Protocol=Trained from scratch2023.1274.2———————————————————————
DOSProtocol=Fine-Tuning, Additional Data=true2025.1273.5————————————————————81.3——
RangeFormerVFM=false2025.0973.396.769.473.759.966.278.175.958.192.47378.842.492.370.186.673.372.866.466.6————
DOSProtocol=Fine-Tuning, Additional Data=false2025.1273.1————————————————————81——
DOSBackbone=Point Transformer v3, Evaluation Protocol=fine-tuning2026.0373.1———————————————————————
PointINSBackbone=Point Transformer v3, Evaluation Protocol=fine-tuning2026.0372.7———————————————————————
SonataModality=3D-only2025.0372.6———————————————————————
SonataProtocol=Fine-Tuning, Additional Data=true2025.1272.6————————————————————77.9——
SonataEvaluation Protocol=full fine-tuning2025.0372.6————————————————————77.993.4—
SonataLearn.=124.8M, Pct.=100%, Evaluation Protocol=f.t.2026.0372.5————————————————————77.993.2—
Volt-B#Params=94.3M, Joint training=true2026.0472.5———————————————————————
PTv3Training Protocol=Multi-dataset joint training (PPT [92])2023.1272.3———————————————————————
PTv3 + PPTYear=20242023.0872.3———————————————————————
PPT + PTv3Params.=46.3M, Training Protocol=supervised pre-training (fine-tuned)2023.0872.3———————————————————————
PPTSupervision=supervised2025.0372.3————————————————————77.593.4—
PTv3/PPT#Params=46.3M, Joint training=true2026.0472.3———————————————————————
PTv3+PPTModality=LiDAR-only2026.0572.3———————————————————————
Volt-S#Params=23.7M, Joint training=true2026.0472.2———————————————————————
PTv3 + M3NetYear=20242023.0872———————————————————————
UtoniaLearn.=157.7M, Pct.=100%, Evaluation Protocol=f.t.2026.0372————————————————————77.893.5—
UniD-shiftModality=LiDAR-Camera fusion2026.0571.896.859.489.292.380.182.493.613.194.761.578.314.293.360.283.271.77666.157.8————
NOMAEBackbone=Point Transformer v3, Evaluation Protocol=fine-tuning2026.0371.6———————————————————————
CSFNet (large)Modality=LiDAR-Camera fusion2026.0571.597.661.588.596.582.882.493.62.294.852.183093.473.789.172.875.666.352.3————
MinkUNet + PPTYear=20242023.0871.4———————————————————————
PPT + SparseUNetParams.=41.0M, Training Protocol=supervised pre-training (fine-tuned)2023.0871.4———————————————————————
UniSegModality=LiDAR-Camera fusion2026.0571.3———————————————————————
ConcertoLearn.=157.7M, Pct.=100%, Evaluation Protocol=f.t.2026.0371.2————————————————————7792.5—
PPT + SparseUNetParams.=41.0M, Training Protocol=supervised joint training2023.0870.9———————————————————————
PTv3Training Protocol=Trained from scratch2023.1270.8———————————————————————
PTv3Year=20242023.0870.8———————————————————————
PTv3Params.=46.2M2023.0870.8———————————————————————
PTv3Modality=3D-only2025.0370.8———————————————————————
PTv3Learn.=124.8M, Pct.=100%2026.0370.8————————————————————76.192.6—
PTv3Modality=LiDAR-only2026.0570.8———————————————————————
OA-CNNsYear=20242023.0870.6———————————————————————
OA-CNNs2026.0370.6———————————————————————
Volt-S#Params=23.7M, Joint training=false2026.0470.5———————————————————————
HEDNet2023.1070.397.357.282.388.1—80.491.323.295.151.583.12.892.169.687.669.472.366.652.173.9———
PTv2Training Protocol=Trained from scratch2023.1270.3———————————————————————
PTv2Year=20222023.0870.3———————————————————————
PTv2Modality=3D-only2025.0370.3———————————————————————
Point Transformer V22026.0370.3———————————————————————
PTv2#Params=12.8M, Joint training=false2026.0470.3———————————————————————
LSK3DNet#Params=28.8M, Joint training=false2026.0470.2———————————————————————
UtoniaLearn.=20.5M, Pct.=13%, Evaluation Protocol=dec.2026.0370————————————————————75.992.7—
2DPASSModality=LiDAR-Camera fusion2026.057097.255.378.390.970.780.793.50.194.353.88212.19371.889.172.375.76654.2————
D-DITRProtocol=Fine-Tuning, Additional Data=false2025.1269.8———————————————————————
SonataBackbone=Point Transformer v3, Evaluation Protocol=fine-tuning2026.0369.6———————————————————————
U2MKDModality=LiDAR-Camera fusion2026.0569.6———————————————————————
CurveCloudNetType=Curve2023.0369.5———————————————————————
CurveCloudNetType=Curve, Time (ms)=155, GPU (GB)=2.75, Param (M)=28.82023.0369.5———————————————————————
2DPASSTraining Protocol=Trained from scratch2023.1269.3———————————————————————
2DPASSYear=20222023.0869.3———————————————————————
2DPASSModality=2D-3D fusion2025.0369.3———————————————————————
ConcertoLearn.=20.5M, Pct.=13%, Evaluation Protocol=dec.2026.0369.3————————————————————76.292.3—
HPENet V2-XLParam.=16.1, FLOPs=18.12026.0369.3———————————————————————
PTv3Protocol=Supervised, Additional Data=false2025.1269.1————————————————————76.1——
PTv3Supervision=supervised2025.0369.1————————————————————76.192.6—
PTv3Evaluation protocol=supervised2026.0369.1———————————————————————
PTv3 (sup.)Backbone=Point Transformer v3, Evaluation Protocol=Supervised2026.0369.1———————————————————————
PTv3#Params=46.1M, Joint training=false2026.0469.1———————————————————————
SphereFormerType=Voxel2023.0369———————————————————————
SphereFormerType=Voxel, Time (ms)=144, GPU (GB)=3.46, Param (M)=32.32023.0369———————————————————————
DITRModality=2D-3D fusion2025.0369———————————————————————
MSeg3DModality=LiDAR-Camera fusion2026.0569———————————————————————
Cylinder3DType=Voxel, Time (ms)=233, GPU (GB)=1.62, Param (M)=55.92023.0368.9———————————————————————
DOSBackbone=Point Transformer v3, Evaluation Protocol=decoder tuning2026.0368.6———————————————————————
SonataEvaluation Protocol=decoder probing2025.0368.4————————————————————76.592.3—
SonataLearn.=16.3M, Pct.=13%, Evaluation Protocol=dec.2026.0368.4————————————————————76.592.3—
MinkUNet342023.1068.396.85581.483.2—79.589.87.894.854.682.81.59268.387.969.472.866.152.470.2———
PTv3Modality=3D-only, Evaluation setup=reproduced2025.0368.3———————————————————————
DOSProtocol=Linear Probing, Additional Data=true2025.1268.3————————————————————78.4——
DOS*Evaluation protocol=linear probing2026.0368.3———————————————————————
PointINSBackbone=Point Transformer v3, Evaluation Protocol=decoder tuning2026.0368.2———————————————————————
WaffleIronYear=20232023.0868———————————————————————
WaffleIron2026.0368———————————————————————
PointINS*Evaluation protocol=linear probing2026.0368———————————————————————
VaViT-B*test-time augmentation=false, epoch=best epoch, stochastic depth drop probability=0.5, token pillar resolution=0.5 m2026.056896.353.276.395.262.180.194095.851.983.90.290.762.987.971.972.965.750.7————
WI-256test-time augmentation=false2026.056896.158.179.777.45981.192.21.395.550.283.6692.167.587.873.87365.752.2————
SphereFormerTraining Protocol=Trained from scratch2023.1267.8———————————————————————
SphereFormerType=v, Params.=32.3M, Training strategy=Expert2024.0367.8———————————————————————
SphereFormerYear=20232023.0867.8———————————————————————
SphereFormerParams.=32.3M2023.0867.8———————————————————————
SphereFormerModality=3D-only2025.0367.8———————————————————————
SphereFormerParam.=32.3, FLOPs=89.82026.0367.8———————————————————————
SphereFormer#Params=32.3M, Joint training=false2026.0467.8———————————————————————
SphereFormertest-time augmentation=false2026.0567.8———————————————————————
UtoniaLearn.=<0.2M, Pct.=<0.2%, Evaluation Protocol=lin.2026.0367.7————————————————————76.991.9—
RangeFormerYear=20232023.0867.6———————————————————————
RangeFormerParam.=24.32026.0367.6———————————————————————
VaViT-Btest-time augmentation=false, epoch=final training epoch, stochastic depth drop probability=0.5, token pillar resolution=0.5 m2026.0567.695.756.574.995.452.181.494.50.195.651.183.80.190.66188.17273.565.951.6————
LCPSModality=2D-3D fusion2025.0367.5———————————————————————
DOSProtocol=Linear Probing, Additional Data=false2025.1267.5————————————————————78.1——
DOSBackbone=Point Transformer v3, Evaluation Protocol=linear probing2026.0367.5———————————————————————
HPENet V2-LParam.=3.3, FLOPs=4.92026.0367.4———————————————————————
PointConvFormer#MACS (G)=91.1, # Params (M)=8.1, Input=Point2022.0867.1———————————————————————
HPENet V2-BParam.=2.2, FLOPs=4.52026.0367———————————————————————
HPENet V2-SParam.=0.8, FLOPs=2.92026.0366.9———————————————————————
PointINSBackbone=Point Transformer v3, Evaluation Protocol=linear probing2026.0366.9———————————————————————
MinkowskiNetType=Voxel2023.0366.8———————————————————————