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Part Segmentation on ShapeNetPart (test)

87.5mIoU (Inst.)M2PT-Video
86.14886.49986.8587.201Mar 26, 2021Feb 6, 2022Dec 20, 2022Nov 3, 2023Sep 15, 2024Jul 29, 2025Jun 12, 2026

Evaluation results

MethodLinks
M2PT-VideoTraining Protocol=Pretrained, Auxiliary Modality=Video2024.0187.585.6———————————————————————
M2PT-ImageTraining Protocol=Pretrained, Auxiliary Modality=Image2024.0187.585.6———————————————————————
M2PT-AudioTraining Protocol=Pretrained, Auxiliary Modality=Audio2024.0187.585.6———————————————————————
DeLAVoting=true2023.0887.5———————————————————————86
SPoTrYear=20232024.0787.285.4———————————————————————
SpoTr2024.0387.285.4———————————————————————
GSPoint2026.0187.285.6———————————————————————
SPoTrVoting=true2023.0887.2———————————————————————85.4
PointNeXtYear=20222024.0787.185.2———————————————————————
GSLCN (2023)2026.0187.185.4———————————————————————
PointNeXt-S (C=160)Voting=true, Channels (C)=1602023.0887.1———————————————————————85.4
DU-NetVoting=true2023.0887.1———————————————————————85.2
DeLAParams.=7.5M2024.038785.8———————————————————————
PCMParams.=40.6M2024.038785.3———————————————————————
PointNeXt (2022)2026.018785.2———————————————————————
DeLA2023.0887———————————————————————85.8
PointMLP+TAPPre-training Strategy=3D-to-2D Generative Pre-training, Backbone=PointMLP2023.0786.985.2——84.886.189.582.592.1—92.388.785.696.579.89685.9—78.183.2—75.966.2——
PCM-TinyParams.=8.8M2024.0386.985———————————————————————
PointNeXt-S (C=64)Voting=true, Channels (C)=642023.0886.9———————————————————————85.2
DC-CCNN++2026.0686.985.2——84.183.589.881.192.4—92.788.283.496.377.396.186.2—83.583.6—77.968.4——
CurveNetYear=20212024.0786.8————————————————————————
GPSFormerYear=20242024.0786.885.4———————————————————————
CurveNet2024.0386.8————————————————————————
PointWavelet (2024)2026.0186.885.2———————————————————————
CurveNetVoting=true2023.0886.8————————————————————————
ACT w/ LCMPretrain=MPM, Encoder=LCM2024.0586.785———————————————————————
PointNeXt2025.0486.7————————————————————————
PointMetaBase2025.0486.7————————————————————————
SAMBLE2025.0486.7————————————————————————
Point-SRALearning Paradigm=Cross-Modal Self-Supervised Representation Learning2026.0186.784.9———————————————————————
EDGCNet2025.1286.784.4———————————————————————
PointNeXt-SVoting=true2023.0886.7———————————————————————84.2
DU-Net2023.0886.7———————————————————————84.5
PointNeXt-STraining Paradigm=Supervised Learning Only2026.0586.784.4———————————————————————
PointTransformer2022.0386.6————————————————————————
Stratified Transformer2022.0386.6————————————————————————
PointGPT-LProtocol=Self-Supervised Representation Learning, larger pre-training dataset=true, post-pre-training stage=true2023.0586.684.8———————————————————————
Point TransformerYear=20212024.0786.683.7———————————————————————
Point TransformerParams.=7.8M2024.0386.683.7———————————————————————
PTv12024.0386.683.7———————————————————————
MaskPoint w/ LCMPretrain=MPM, Encoder=LCM2024.0586.685.1———————————————————————
Point-MAE w/ LCMPretrain=MPM, Encoder=LCM2024.0586.685.1———————————————————————
PT22025.0486.6————————————————————————
CurveNet2025.0486.6————————————————————————
DeltaConv2025.0486.6————————————————————————
Point Transformer2023.0886.6———————————————————————83.7
PVT2023.0886.6————————————————————————
point-M2AEST=false2025.0686.584.9———————————————————————
PointGPT-BProtocol=Self-Supervised Representation Learning, larger pre-training dataset=true, post-pre-training stage=true2023.0586.584.5———————————————————————
Point-M2AEPre-training Strategy=Uni-modal Generative Pre-training, Architecture=Transformer2023.0786.584.9———————————————————————
PointNeXt-SC=160, Params.=22.5M2024.0386.5————————————————————————
Point-M2AEPretrain=MPM2024.0586.584.9———————————————————————
Point-BERT w/ LCMPretrain=MPM, Encoder=LCM2024.0586.585———————————————————————
Point-M2AE w/ LCMPretrain=MPM, Encoder=LCM2024.0586.585———————————————————————
DuGREAT (2025)2026.0186.584.9———————————————————————
PointDico2025.1286.584.5———————————————————————
Point-M2AETraining Paradigm=Self-Supervised Pre-training with Single-Modal2026.0586.584.9———————————————————————
DC-CCNN2026.0686.584.6——84.38389.478.492.2—92.588.682.695.376.296.385.9—83.583.2—77.168.6——
KPConv2021.0386.485.1———————————————————————
DensePoint2021.0386.484.2———————————————————————
DensePoint2021.1286.484.2——8485.49079.291.181.691.587.584.795.974.394.682.964.676.883.7—————
DensePoint2022.0386.4————————————————————————
ReConReference=ICML 2023, Protocol=Methods using cross-modal information and teacher models2023.0586.484.8———————————————————————
RECON2023.0286.484.8———————————————————————
KPConvPre-training Strategy=Supervised Representation Learning Only2023.0786.485.1——84.686.387.281.191.1—92.688.482.796.278.195.885.4—8283.6—77.869——
KPConvYear=20192024.0786.485.1———————————————————————
PCTYear=20212024.0786.4————————————————————————
AdaptConvYear=20212024.0786.483.4———————————————————————
ReConSelf-Supervised Representation Learning Mode=Cross-Modal2024.0886.484.8———————————————————————
PointGPT-BPretrain=MPM2024.0586.484.5———————————————————————
PCT2025.0486.4————————————————————————
ReConJournal or Conference=ICML, Learning Paradigm=Cross-Modal Self-Supervised Representation Learning2026.0186.484.8———————————————————————
ReConLearning Protocol=Cross-modal / Teacher models2025.1286.484.8———————————————————————
ReConEvaluation Protocol=Full Fine-tuning, #TP (M)=48.52026.0586.4———————————————————————84.5
ReConTraining Paradigm=Self-Supervised Pre-training with Cross-Modal2026.0586.484.8———————————————————————
point-FEMAEST=false2025.0686.384.9———————————————————————
InterpCNN2021.0386.384———————————————————————
PRA-Net2021.1286.383.7——84.486.889.578.491.476.491.588.285.395.773.494.882.162.375.584—————
InterpCNN2022.0386.3————————————————————————
Point-FEMAESelf-Supervised Representation Learning Mode=Single-Modal2024.0886.384.9———————————————————————
LCMPretrain=None2024.0586.384.6———————————————————————
PRA-Net2025.0486.3————————————————————————
Point-FEMAELearning Protocol=Self-Supervised (ALL)2025.1286.384.9———————————————————————
Point-FEMAETraining Paradigm=Self-Supervised Pre-training with Single-Modal2026.0586.384.9———————————————————————
PointGPT-SST=true2025.0686.284.1———————————————————————
PVCNN2021.0386.2————————————————————————
RS-CNNVoting=true2021.0386.284———————————————————————
RSCNN2021.1286.284——83.584.888.879.691.281.191.688.4869673.794.183.460.577.783.6—————
PVCNN2022.0386.2————————————————————————
RS-CNN2022.0386.2————————————————————————
KPConv2022.0386.2————————————————————————
PointGPT-SProtocol=Self-Supervised Representation Learning2023.0586.284.1———————————————————————
RS-CNNYear=20192024.0786.284———————————————————————
PointGPTSelf-Supervised Representation Learning Mode=Single-Modal2024.0886.284.1———————————————————————
PointGPT-SPretrain=MPM2024.0586.284.1———————————————————————
PointMambaJournal or Conference=NeurIPS, Learning Paradigm=Self-Supervised Representation Learning2026.0186.284.3———————————————————————
PointGPTLearning Protocol=Self-Supervised (ALL)2025.1286.284.1———————————————————————
CSConLearning Protocol=Self-Supervised (ALL)2025.1286.284.8———————————————————————
PointGPT-STraining Paradigm=Self-Supervised Pre-training with Single-Modal2026.0586.284.1———————————————————————
PointMambaTraining Paradigm=Self-Supervised Pre-training with Single-Modal2026.0586.284.4———————————————————————