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3D Object Part Segmentation on ShapeNetPart

87.3mIoU (Instance)HPENet V2-S*
81.68483.14284.686.058May 21, 2022Jan 6, 2023Aug 25, 2023Apr 11, 2024Nov 28, 2024Jul 16, 2025Mar 4, 2026

Evaluation results

MethodLinks
HPENet V2-S*Param.=26.3, FLOPs=48.9, TP=2932026.0387.385.4
PointNeXt-S*Channel size (C)=160, Throughput=752022.0587.2—
HPENet V2-S(c=160)Param.=26.3, FLOPs=48.9, TP=2932026.0387.285.4
PointMetaBase-S(c=160)Param.=22.7, FLOPs=18.5, TP=3142026.0387.185.1
HPENet (SIN)Param.=24.7, FLOPs=135.3, TP=1582026.0387.185.5
PointMetaBase-S + X-3DChannels=32, Params=2.0, GFLOPs=2.02024.048785.1
PointNeXt-S (c=160)Param.=22.5, FLOPs=110.2, TP=2252026.038785.2
HPENetParam.=24.7, FLOPs=135.6, TP=1712026.038785.3
PointNeXt-S*Channel size (C)=64, Throughput=3302022.0586.9—
PointVector-SChannel size (C)=64, Throughput=2112022.0586.9—
PointMetaBase-SChannels=64, Params=3.8, GFLOPs=3.852024.0486.985.1
PointNeXt-S (c=64)Param.=3.7, FLOPs=17.8, TP=7172026.0386.984.8
PointMetaBase-S(c=64)Param.=3.8, FLOPs=3.9, TP=7972026.0386.984.9
CurveNetThroughput=972022.0586.8—
HPENet V2-SParam.=1.1, FLOPs=2.1, TP=15672026.0386.884.6
HPENet V2-S(c=64)Param.=4.3, FLOPs=8.0, TP=8232026.0386.884.8
PointNeXt-SParams=1.0, GFLOPs=4.52024.0486.785.6
PointMetaBase-SChannels=32, Params=1.0, GFLOPs=1.392024.0486.784.4
PointNeXt-SParam.=1.0, FLOPs=4.5, TP=14422026.0386.784.4
PointMetaBase-SParam.=1.0, FLOPs=1.4, TP=14022026.0386.784.3
Point TransformerThroughput=2972022.0586.6—
StratifiedformerThroughput=3982022.0586.6—
PointTransformerParams=7.82024.0486.683.7
StratifiedFormer2024.0486.685.1
Point Transformer2026.0386.683.7
Stratified Transformer2026.0386.685.1
PointNeXt-S*Throughput=7762022.0586.5—
PointVector-SThroughput=4462022.0586.5—
Point-M2AEParams Learn.=12.9M, Params Pct.=100%, Evaluation Protocol=fine-tuning2026.0386.584.9
KPConv2024.0486.485.1
KPConv2026.0386.485.1
AGConv2026.0386.483.4
UtoniaParams Learn.=137.4M, Params Pct.=100%, Evaluation Protocol=fine-tuning2026.0386.384.2
KPConvThroughput=442022.0586.2—
DTNet2026.0386.2—
ASSANet-LThroughput=6402022.0586.1—
PointMLPThroughput=2702022.0586.1—
PointMLP2024.0486.185.1
ConcertoParams Learn.=137.4M, Params Pct.=100%, Evaluation Protocol=fine-tuning2026.0386.183.6
PointMLP2026.0386.184.6
DGCNNThroughput=1472022.0585.2—
DGCNNParam.=1.3, FLOPs=12.42026.0385.282.3
3D-GCN2022.0585.1—
PointNet++Throughput=5602022.0585.1—
PointNet++Params=1.0, GFLOPs=4.92024.0485.181.9
PointNet++Param.=1.1, FLOPs=5.52026.0385.181.9
SonataParams Learn.=124.8M, Params Pct.=100%, Evaluation Protocol=fine-tuning2026.0384.483.6
ConcertoParams Learn.=<0.2M, Params Pct.=<0.2%, Evaluation Protocol=linear probing2026.0383.981.5
PointNetThroughput=11842022.0583.7—
PointNetParam.=3.6, FLOPs=4.92026.0383.780.4
SonataParams Learn.=<0.2M, Params Pct.=<0.2%, Evaluation Protocol=linear probing2026.0383.681.6
UtoniaParams Learn.=<0.2M, Params Pct.=<0.2%, Evaluation Protocol=linear probing2026.0382.580.6
PTv3Params Learn.=124.8M, Params Pct.=100%2026.0381.980.2