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Semantic Segmentation on S3DIS (6-fold)

88.1mIoU (Mean IoU)PointCNN
72.91676.85880.884.742Apr 16, 2019Jun 8, 2020Aug 1, 2021Sep 24, 2022Nov 17, 2023Jan 9, 2025Mar 4, 2026

Evaluation results

MethodLinks
PointCNNEvaluation Protocol=6-fold cross validation2019.0488.1————————————————
A-CNNEvaluation Protocol=6-fold cross validation2019.0487.3————————————————
3P-RNNEvaluation Protocol=6-fold cross validation2019.0486.9————————————————
SPGraphEvaluation Protocol=6-fold cross validation2019.0485.5————————————————
SonataYear=2024, Evaluation Protocol=full fine-tuning, Pre-training=true2025.0382.3————————————————
SonataYear=2024, Evaluation Protocol=decoder probing, Pre-training=true2025.0381.5————————————————
G+RCUEvaluation Protocol=6-fold cross validation2019.0481.1————————————————
PTv3Year=2024, Training=Pre-trained, Pre-training Method=PPT [92]2023.1280.8————————————————
PPTYear=2023, Pre-training=true2025.0380.8————————————————
SWIN3D-LPre-training strategy=pre-trained, Backbone scale=Large, Fine-tuning epochs=6002023.0479.8————————————————
Swin3DYear=2023, Training=Pre-trained, Pre-training Method=Supervised [101]2023.1279.8————————————————
Supervised (Swin3D)Year=2023, Pre-training=true2025.0379.8————————————————
MS+CU (2)Evaluation Protocol=6-fold cross validation2019.0479.2————————————————
DeLA + X-3DGFLOPS=14.8, #Params=8.02024.0479.291.986.5——————————————
HPENet V2-XLParam. (M)=16.1, FLOPs (G)=18.2, TP (ins./sec.)=1282026.0378.9—86.3—————————————91.9
HPENet V2-XL*Param. (M)=16.1, FLOPs (G)=18.2, TP (ins./sec.)=1282026.0378.9—86.3—————————————91.9
HPENetParam. (M)=46.3, FLOPs (G)=148.8, TP (ins./sec.)=572026.0378.7—86.2—————————————91.9
PointNetEvaluation Protocol=6-fold cross validation2019.0478.5————————————————
PointVector-XLParams=24.1M, FLOPS=58.5G, Throughput=40 ins./sec.2022.0578.491.986.1——————————————
PointVector-XLGFLOPS=58.5, #Params=24.12024.0478.491.986.1——————————————
PointVector-XLParam. (M)=24.1, FLOPs (G)=58.5, TP (ins./sec.)=902026.0378.4—86.1—————————————91.9
DeLAGFLOPS=14.0, #Params=7.02024.0478.391.786.1——————————————
MVNetBackbone=SR-UNet2025.1278.391.886.3——————————————
SWIN3D-SPre-training strategy=pre-trained, Backbone scale=Small, Fine-tuning epochs=6002023.0478.2————————————————
HPENet (SIN)Param. (M)=46.3, FLOPs (G)=147.2, TP (ins./sec.)=502026.0378.2—86.1—————————————91.7
MinkUNetYear=2024, Training=Pre-trained, Pre-training Method=PPT [92]2023.1278.1————————————————
PPT (sup.)Year=2023, Pre-training=true2025.0378.1————————————————
PTv3Year=2024, Training=Trained from scratch2023.1277.7————————————————
PointMetaBase-XL + X-3DGFLOPS=9.8, #Params=18.12024.0477.791.6———————————————
PTv3Year=2023, Pre-training=false2025.0377.7————————————————
Point Transformer V3Param. (M)=46.2, FLOPs (G)=5.22026.0377.7—85.3—————————————91.5
StratifiedFormer + PAGWNBackbone=StratifiedFormer, Module=PAGWN2022.1277.691.785.8——————————————
WindowNormPre-training strategy=supervised2023.0477.6————————————————
Sparse EQ-Net2022.0377.5————————————————
HPENet V2-LParam. (M)=2.9, FLOPs (G)=4.2, TP (ins./sec.)=2312026.0377.5—85.3—————————————91.6
PointVector-LParams=4.2M, FLOPS=10.7G, Throughput=98 ins./sec.2022.0577.491.485.5——————————————
PointVector-LParam. (M)=4.2, FLOPs (G)=10.7, TP (ins./sec.)=2092026.0377.4—85.5—————————————91.4
PointMetaBase-XXLParams. (M)=19.7, FLOPs (G)=11.0, Throughput (ins./sec.)=902022.117791.3———————————————
PointMetaBase-XXLPre-training strategy=supervised2023.0477————————————————
PointMetaBaseYear=2023, Training=Trained from scratch2023.1277————————————————
PointMetaBaseYear=2023, Pre-training=false2025.0377————————————————
PointMetaBase-XXLParam. (M)=19.7, FLOPs (G)=11.0, TP (ins./sec.)=1142026.0377———————————————91.3
SWIN3D-S*Pre-training strategy=trained from scratch, Backbone scale=Small2023.0476.9————————————————
Swin3DYear=2023, Training=Trained from scratch2023.1276.9————————————————
Swin3DYear=2023, Pre-training=false2025.0376.9————————————————
PointMetaBase-L + X-3DGFLOPS=2.2, #Params=3.82024.0476.791.1———————————————
SonataYear=2024, Evaluation Protocol=linear probing, Pre-training=true2025.0376.5————————————————
PointMetaBase-XLParams. (M)=15.3, FLOPs (G)=9.2, Throughput (ins./sec.)=1042022.1176.391———————————————
PT + ERDAsettings=Fully2023.0576.3————————————————
PointMetaBase-XLGFLOPS=9.2, #Params=15.32024.0476.391———————————————
PointMetaBase-XLParam. (M)=15.3, FLOPs (G)=9.2, TP (ins./sec.)=1302026.0376.3———————————————91
SPTSize (x10^6)=0.212024.0176————————————————
SuperpointTransformerYear=2023, Training=Trained from scratch2023.1276————————————————
SuperpointTransformerYear=2023, Pre-training=false2025.0376————————————————
HPENet V2-BParam. (M)=1.8, FLOPs (G)=3.7, TP (ins./sec.)=2602026.0376—84.3—————————————91
PointMetaBase-LParams. (M)=2.7, FLOPs (G)=2.0, Throughput (ins./sec.)=1872022.1175.690.6———————————————
PointMetaBase-LGFLOPS=2.0, #Params=2.72024.0475.690.6———————————————
PointMetaBase-LParam. (M)=2.7, FLOPs (G)=2.0, TP (ins./sec.)=2452026.0375.6———————————————90.6
IAEbackbone=PointNeXt, training_mode=self-supervised pre-training2022.0175.390.8———————————————
SuperClusterSize (x10^6)=0.212024.0175.3————————————————
OneFormer3D2023.1175————————————————
PointNeXt-XL2022.1274.990.383——————————————
PointNeXt-XLParams. (M)=41.6, FLOPs (G)=84.8, Throughput (ins./sec.)=432022.1174.990.3———————————————
PointNeXt-XLParams=41.6M, FLOPS=84.8G, Throughput=46 ins./sec.2022.0574.990.383——————————————
PointNeXt-XLPre-training strategy=supervised2023.0474.9————————————————
PointNeXttraining_mode=supervised2022.0174.990.3———————————————
PointNeXt - XLsettings=Fully2023.0574.9————————————————
PointNeXt-XL2023.1174.9————————————————
Strat. Trans.Size (x10^6)=8.02024.0174.9————————————————
PointNeXt-XLSize (x10^6)=41.62024.0174.9————————————————
PointNeXtYear=2022, Training=Trained from scratch2023.1274.9————————————————
PointNeXt-XLGFLOPS=84.8, #Params=412024.0474.990.383——————————————
PointNeXt-XLParams (M)=41.6, FLOPs (G)=84.8, Throughput (ins./sec.)=462022.0674.990.3———————————————
PointNeXtYear=2022, Pre-training=false2025.0374.9————————————————
PointNeXt-XLParam. (M)=41.6, FLOPs (G)=84.8, TP (ins./sec.)=982026.0374.9—83—————————————90.3
3D Backbone + DeepViewAggInput Modality=Point clouds and images2022.0474.7————————————————
DeepViewAggSize (x10^6)=41.22024.0174.7————————————————
PIDS (NAS, 2x)Parameters (M)=1.352022.1174.490.382.1——————————————
GeoPEBackbone=Point-Transformer, PE=GeoPE2025.1274.490.582.1——————————————
RepSurfParams=0.976M2022.0574.390.982.6——————————————
RepSurfGFLOPS=1.042024.0474.390.882.6——————————————
RepSurf-UParam. (M)=1.0, FLOPs (G)=1.02026.0374.3—82.6—————————————89.9
Point Transformer + PAGWNBackbone=Point Transformer, Module=PAGWN2022.1274.190.282.5——————————————
PointNeXt-LParams. (M)=7.1, FLOPs (G)=15.2, Throughput (ins./sec.)=1092022.1173.989.8———————————————
PointNeXt-LParams=7.1M, FLOPS=15.2G, Throughput=115 ins./sec.2022.0573.989.882.2——————————————
PointNeXt-LParams (M)=7.1, FLOPs (G)=15.2, Throughput (ins./sec.)=1152022.0673.989.8———————————————
PointNeXt-LParam. (M)=7.1, FLOPs (G)=15.2, TP (ins./sec.)=2212026.0373.9—82.2—————————————89.8
Closer Look3D + ERDAsettings=Fully2023.0573.7————————————————
Point TransformerProtocol=6-fold cross-validation2020.1273.590.281.9——————————————
PointTransformer2022.0373.5————————————————
PointTrans.Input Modality=Colorized point clouds2022.0473.5————————————————
Point Transformer2022.1273.590.281.9——————————————
Point TransformerParams. (M)=7.8, FLOPs (G)=5.62022.1173.590.2———————————————
Point TransformerParams=7.8M, FLOPS=5.6G, Throughput=34 ins./sec.2022.0573.590.281.9——————————————
PointTransformertraining_mode=supervised2022.0173.590.2———————————————
PTsettings=Fully2023.0573.5————————————————
PT + ERDAsettings=1%2023.0573.5————————————————
PointTransformer2023.1173.5————————————————
PointTransformerParameters (M)=4.92022.1173.590.281.9——————————————
PTv2Year=2022, Training=Trained from scratch2023.1273.5————————————————