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Semantic Segmentation on S3DIS

75.11mIoUPointER
-1.444418.430338.30558.1797Jan 23, 2018Jun 20, 2019Nov 14, 2020Apr 12, 2022Sep 7, 2023Feb 1, 2025Jun 30, 2026

Evaluation results

MethodLinks
PointER2026.0675.1196.197.57878.976.780.380.682.372.955.957.252.667.3————90.3184.37———
Mamba3D2026.0674.4595.89878.382.872.682.58182.171.855.851.250.465.8————90.1983.42———
PIDSInteraction=true, Dimension=true, Reuse=false, NAS=true2022.1174.4——————————————————————
PointMamba2026.0673.7895.796.177.88273.482.679.878.670.356.551.449.865.2————89.6583.08———
PointTransformerInteraction=true, Dimension=false, Reuse=true, NAS=false2022.1173.5——————————————————————
HUNetEvaluation Protocol=Fine-tuning2025.0473.2——————————————————————
Point-MAE2026.0673.1494.496.877.68268.578.47982.973.352.645.455.564.6————90.2982.18———
Contrastive Scene ContextsPre-training strategy=Contrastive Scene Contexts2020.1272.2——————————————————————
PointSeaNetInteraction=true, Dimension=false, Reuse=true, NAS=true2022.1171.9——————————————————————
SAM-MAEEvaluation Protocol=Fine-tuning2025.0471.8——————————————————————
SPoTrYear=20232023.0370.8—————————————————90.776.4———
KPConvSearch=Radius2020.0470.693.692.483.163.954.366.176.657.86469.374.961.360.3—————————
KPConvInteraction=true, Dimension=false, Reuse=true, NAS=false2022.1170.6——————————————————————
MSPBackbone=StratifiedTransformer2024.0470.5———————————————————16.772.4—
MaxLogitBackbone=StratifiedTransformer2024.0470.5———————————————————30.181—
PointTransformerYear=20212023.0370.4—————————————————90.8————
DMLNetBackbone=StratifiedTransformer2024.0470.4———————————————————17.466.3—
REALBackbone=StratifiedTransformer2024.0470.4———————————————————50.987.1—
PDFBackbone=StratifiedTransformer2024.0470.3———————————————————66.492.7—
PointContrastPre-training strategy=PointContrast2020.1270.3——————————————————————
Bridge3DEvaluation Protocol=Fine-tuning2025.0470.2——————————————————————
MSPBackbone=PointTransformer2024.0469.8———————————————————15.270.3—
MaxLogitBackbone=PointTransformer2024.0469.8———————————————————17.574.3—
MC-DropoutBackbone=PointTransformer2024.0469.8———————————————————18.275.9—
REALBackbone=PointTransformer2024.0469.7———————————————————25.487.6—
APFBackbone=PointTransformer2024.0469.3———————————————————31.690—
MC-DropoutBackbone=StratifiedTransformer2024.0469———————————————————16.468.6—
RepSurf-UYear=20222023.0368.9—————————————————90.276———
PDFBackbone=PointTransformer2024.0468.6———————————————————73.196.2—
FKAConvSearch=Knn, Variant=fusion2020.0468.494.59882.9414657.874.177.771.76560.35565.5—————————
ConvPointSearch=Knn2020.0468.29597.381.747.134.663.273.275.371.864.959.257.665—————————
ScratchPre-training strategy=None (from scratch)2020.1268.2——————————————————————
CTYear=20212023.0367.9——————————————————————
DMLNetBackbone=PointTransformer2024.0467.2———————————————————20.580.7—
KPConvYear=20192023.0367.1——————————————————72.8———
ShellNet2019.0866.8——————————————————————
ShellNetSearch=Knn2020.0466.890.293.679.960.444.164.952.971.684.753.864.648.659.4—————————
PosPool*param=18.4M, FLOP=7.3G2020.0766.7——————————————————————
PointWebSearch=Knn2020.0466.793.594.280.852.441.364.968.171.467.150.362.762.258.5—————————
FKAConvSearch=Knn, Variant=RGB drop.2020.0466.694.497.881.538.743.356.471.680.271.863.554.150.662.5—————————
adapt weightsparam=18.4M, FLOP=7.8G2020.0766.5——————————————————————
PosPoolparam=18.4M, FLOP=7.3G2020.0766.5——————————————————————
point-wise MLPparam=25.5M, FLOP=9.8G2020.0766.2——————————————————————
pseudo gridparam=18.5M, FLOP=9.3G2020.0765.9——————————————————————
KPConvparam=15.0M, FLOP=6.5G2020.0765.7——————————————————————
PointCNN2019.0865.4——————————————————————
PointCNNparam=4.4M, FLOP=36.7G2020.0765.4——————————————————————
PointCNNSearch=Knn2020.0465.494.897.375.863.351.758.457.271.669.139.161.252.258.6—————————
PointCNN2018.0165.39——————————————————————
FKAConvSearch=Knn, Variant=RGB only2020.0464.99497.880.538.548.549.86879.470.748.443.762.961.4—————————
pseudo grid (S)param=1.2M, FLOP=1.0G, Model Scale=Small2020.0764.3——————————————————————
PosPool (S)param=1.1M, FLOP=0.5G, Model Scale=Small2020.0764.2——————————————————————
SPGraph2018.0162.1——————————————————————
SPG2019.0862.1——————————————————————
SPGraphSearch=Super pt.2020.0462.189.995.176.462.847.155.368.473.569.263.245.98.752.9—————————
adapt weights (S)param=1.2M, FLOP=0.6G, Model Scale=Small2020.0761.9——————————————————————
PosPool* (S)param=1.1M, FLOP=0.5G, Model Scale=Small2020.0761.3——————————————————————
PCTYear=20212023.0361.3——————————————————67.7———
PCP-MAE2026.0661.3——————————————————71———
MPL-MAE2026.0661.1——————————————————71.7———
4DContrastEvaluation protocol=pre-trained2021.1261——————————————————————
Point-MAE2026.0660.8——————————————————69.9———
PointWebYear=20192023.0360.3—————————————————8766.6———
HUNetEvaluation Protocol=Linear probing2025.0459.5——————————————————————
scratchEvaluation protocol=from scratch2021.1258.6——————————————————————
baseline† (MAX)param=18.4M, FLOP=7.2G, Pooling strategy=MAX, Equation=72020.0758.4——————————————————————
PCCNSearch=Knn2020.0458.392.396.275.90.27669.563.565.666.968.947.359.146.2—————————
baseline† (MAX, S)param=1.1M, FLOP=0.5G, Pooling strategy=MAX, Model Scale=Small, Equation=72020.0757.4——————————————————————
PointCNNYear=20182023.0357.3—————————————————85.963.9———
point-wise MLP (S)param=1.6M, FLOP=0.8G, Model Scale=Small2020.0756.7——————————————————————
RSNet2019.0856.5——————————————————————
RSNetSearch=Knn2020.0456.592.592.878.632.834.451.668.160.159.750.216.444.952—————————
RSNet2018.0156.47——————————————————————
DGCNN2018.0156.1——————————————————————
DGCNN2019.0856.1——————————————————————
baseline*param=18.4M, FLOP=7.2G, Equation=62020.0751.5——————————————————————
MINDMethod Category=Geometric-Aware Adaptation2026.0551.34—————————————————————8.14
baseline† (AVG)param=18.4M, FLOP=7.2G, Pooling strategy=AVG, Equation=72020.0751——————————————————————
SGPN2019.0850.4——————————————————————
SGPN2018.0150.37——————————————————————
baseline† (AVG, S)param=1.1M, FLOP=0.5G, Pooling strategy=AVG, Model Scale=Small, Equation=72020.0750.3——————————————————————
Clean baselineSegmentation model=SegNN2024.1050.27—————————————————79————
CA2CMethod Category=Generic Robust Fine-tuning, Venue=ICCV’252026.0548.4—————————————————————5.2
PointNet2018.0147.6——————————————————————
PointNet2019.0847.6——————————————————————
PointnetSearch=Knn2020.0447.68888.769.342.423.147.551.64254.138.29.629.435.2—————————
NPCMethod Category=Generic Robust Fine-tuning, Venue=ICML’222026.0546.8—————————————————————3.6
3D-to-2D distillationBackbone=ResNet-50, 3D Teacher Network=PointWeb [62]2021.0446.42——————————————————————
UMTk=2, Segmentation model=SegNN2024.1046.3—————————————————66.41————
Standard CEMethod Category=Generic Robust Fine-tuning, Evaluation Protocol=Retrain2026.0544.15—————————————————————0.95
PSPNet-50Backbone=ResNet-502021.0443.65——————————————————————
Clean baselineSegmentation model=AVG2024.1043.63—————————————————76.16————
OpenSegMethod Category=Foundation Model Baseline, Evaluation Protocol=Zero-shot2026.0543.2——————————————————————
PointNetYear=20172023.0341.1——————————————————————
Clean baselineSegmentation model=Point Transformer v32024.1040.57—————————————————74.72————
Clean baselineSegmentation model=PointNet++2024.1040.06—————————————————74.76————
UMTk=2, Segmentation model=AVG2024.1024.02—————————————————35.97————
UMTk=2, Segmentation model=Point Transformer v32024.1018.32—————————————————25.61————
UMTk=2, Segmentation model=PointNet++2024.107.45—————————————————15.89————
MM-3DSceneComplexity=Entire floor, office, Training Mode=Fine-tuning, Backbone=Point Transformer2022.121.5——————————————————————