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Shape Classification on ScanObjectNN (PB_T50_RS)

95.4OAGPSFormer
61.70470.45279.287.948Feb 15, 2022Aug 22, 2022Feb 27, 2023Sep 4, 2023Mar 11, 2024Sep 16, 2024Mar 24, 2025

Evaluation results

MethodLinks
GPSFormerVoting strategy=true2024.0795.493.8—————
ReCon++#P (M)=657.2, Training Strategy=with Pre-Training (Full Fine-Tuning), Voting Strategy=true2025.0395.25——————
GPSFormerVoting strategy=false2024.079593.5—————
PointGPTYear=2023, Pre-training=true2024.0793.6——————
PointGPT#P (M)=360.5, #F (G)=67.7, Training Strategy=with Pre-Training (Full Fine-Tuning), Voting Strategy=true2025.0393.4——————
GPSFormer-eliteVoting strategy=true2024.0793.392.5—————
GPSFormer-eliteVoting strategy=false2024.0792.992.2—————
MOSTBackbone=ReCon [38], #P (M)=1.3, #F (G)=4.8, Training Strategy=with Pre-Training (Parameter-Efficient Fine-Tuning), Voting Strategy=false2025.0392.85——————
MOSTBackbone=Mamba3D [20], #P (M)=1.2, #F (G)=3.9, Training Strategy=with Pre-Training (Parameter-Efficient Fine-Tuning), Voting Strategy=false2025.0392.85——————
Mamba3D#P (M)=16.9, #F (G)=3.9, Training Strategy=with Pre-Training (Full Fine-Tuning), Voting Strategy=false2025.0392.05——————
Mamba3D#P (M)=16.9, #F (G)=3.9, Training Strategy=Supervised Learning Only (Dense Training), Voting Strategy=false2025.0391.8——————
ULIP-2 + PointNeXtYear=2023, Pre-training=true2024.0791.591.2—————
ReConYear=2023, Pre-training=true2024.0791.26——————
ReCon#P (M)=43.6, #F (G)=5.3, Training Strategy=with Pre-Training (Full Fine-Tuning), Voting Strategy=false2025.0390.63——————
MOST (Mamba3D)#P (M)=5.1, #F (G)=2.6, Training Strategy=Supervised Learning Only (Sparse Training), Voting Strategy=false2025.0390.56——————
DeLAYear=20232024.0790.489.3—————
PointConTYear=20232024.0790.388.5—————
Point-RAEYear=20232024.0790.3——————
PointFEMAEYear=20232024.0790.2——————
I2P-MAE#P (M)=15.3, #F (G)=3.6, Training Strategy=with Pre-Training (Full Fine-Tuning), Voting Strategy=false2025.0390.11——————
PointGSTBackbone=Mamba3D [20], #P (M)=0.6, #F (G)=3.9, Training Strategy=with Pre-Training (Parameter-Efficient Fine-Tuning), Voting Strategy=false2025.0389.97——————
PPTBackbone=ReCon [38], #P (M)=1.1, #F (G)=11.3, Training Strategy=with Pre-Training (Parameter-Efficient Fine-Tuning), Voting Strategy=false2025.0389.52——————
PointGSTBackbone=ReCon [38], #P (M)=0.6, #F (G)=4.8, Training Strategy=with Pre-Training (Parameter-Efficient Fine-Tuning), Voting Strategy=false2025.0389.49——————
DAPTBackbone=ReCon [38], #P (M)=1.1, #F (G)=5.0, Training Strategy=with Pre-Training (Parameter-Efficient Fine-Tuning), Voting Strategy=false2025.0389.38——————
PointMamba#P (M)=12.3, #F (G)=3.6, Training Strategy=with Pre-Training (Full Fine-Tuning), Voting Strategy=false2025.0389.31——————
KPNeXt-LPre-training=None, Voting=true, Input points=1024, Number of runs=102024.0588.987.30.389.30.588.1—
SPoTrYear=20232024.0788.686.8—————
DAPTBackbone=Mamba3D [20], #P (M)=1.1, #F (G)=4.0, Training Strategy=with Pre-Training (Parameter-Efficient Fine-Tuning), Voting Strategy=false2025.0388.55——————
KPNeXt-SPre-training=None, Voting=true, Input points=1024, Number of runs=102024.0588.386.70.4890.587.4—
ACT#P (M)=22.1, #F (G)=4.8, Training Strategy=with Pre-Training (Full Fine-Tuning), Voting Strategy=false2025.0388.21——————
IDPTBackbone=ReCon [38], #P (M)=1.7, #F (G)=7.2, Training Strategy=with Pre-Training (Parameter-Efficient Fine-Tuning), Voting Strategy=false2025.0388.13——————
PointVectorPre-training=None, Voting=true, Input points=1024, Number of runs=102024.0587.886.20.488.60.586.8—
PointNeXtPre-training=None, Voting=true, Input points=1024, Number of runs=102024.0587.785.80.488.20.686.6—
PointNeXtYear=20222024.0787.785.8—————
PPTBackbone=Mamba3D [20], #P (M)=1.1, #F (G)=8.5, Training Strategy=with Pre-Training (Parameter-Efficient Fine-Tuning), Voting Strategy=false2025.0387.61——————
MOST (Transformer)#P (M)=5.6, #F (G)=2.8, Training Strategy=Supervised Learning Only (Sparse Training), Voting Strategy=false2025.0387.47——————
IDPTBackbone=Mamba3D [20], #P (M)=1.7, #F (G)=6.2, Training Strategy=with Pre-Training (Parameter-Efficient Fine-Tuning), Voting Strategy=false2025.0387.34——————
Point-PNYear=20232024.0787.1——————
PointStackPre-training=None, Voting=true, Input points=1024, Number of runs=102024.0586.985.80.387.20.386.2—
Point-M2AE#P (M)=15.3, #F (G)=3.6, Training Strategy=with Pre-Training (Full Fine-Tuning), Voting Strategy=false2025.0386.43——————
RepSurf-UYear=20222024.078683.1—————
PointMLPYear=20222024.0785.784.4—————
MVTNYear=20212024.0785.583.1—————
PointMLPPre-training=None, Voting=true, Input points=1024, Number of runs=102024.0585.483.90.3—0.5——
Point-MAEYear=2022, Pre-training=true2024.0785.2——————
Point-MAE#P (M)=22.1, #F (G)=4.8, Training Strategy=with Pre-Training (Full Fine-Tuning), Voting Strategy=false2025.0385.18——————
Point-BERTYear=2021, Pre-training=true2024.0783.1——————
Point-BERT#P (M)=22.1, #F (G)=4.8, Training Strategy=with Pre-Training (Full Fine-Tuning), Voting Strategy=false2025.0383.07——————
MVTN2022.0282.8——————
PRANet2022.0282.179.1—————
GBNet2022.0280.577.8—————
GBNetYear=20212024.0780.577.8—————
SimpleViewYear=20212024.0780.5——————
DRNet2022.0280.378—————
DRNetYear=20212024.0780.378—————
BGA-PN++2022.0280.277.5—————
BGA-DGCNN2022.0279.775.7—————
PointCNN2022.0278.575.1—————
PointCNNYear=20182024.0778.575.1—————
DGCNN2022.0278.173.6—————
DGCNNYear=20192024.0778.173.6—————
DGCNN#P (M)=1.8, #F (G)=2.4, Training Strategy=Supervised Learning Only (Dense Training), Voting Strategy=false2025.0378.1——————
PointNet++2022.0277.975.4—————
PointNet++#P (M)=1.5, #F (G)=1.7, Training Strategy=Supervised Learning Only (Dense Training), Voting Strategy=false2025.0377.9——————
Transformer#P (M)=22.1, #F (G)=4.8, Training Strategy=Supervised Learning Only (Dense Training), Voting Strategy=false2025.0377.2——————
SpiderCNN2022.0273.769.8—————
PointNet++Year=20182024.0773.769.8—————
PointNet2022.0268.263.4—————
PointNetYear=20172024.0768.263.4—————
PointNet#P (M)=3.5, #F (G)=0.5, Training Strategy=Supervised Learning Only (Dense Training), Voting Strategy=false2025.0368——————
Point-NNYear=20232024.0764.9——————
3DmFV2022.026358.1—————
3DmFV2024.12—63—————
DGCNNPre-training=None, Voting=true, Input points=1024, Number of runs=102024.05———78.1—73.6—
DGCNNParam.=1.8 M2024.12—78.1—————
GBNetParam.=8.4 M2024.12—80.5—————
Point-GNParam.=0.0 M2024.12—86.4—————
Point-MAEPre-training=None, Voting=true, Input points=1024, Number of runs=102024.05———85.2———
Point-MAEreproduced=true2026.06—85.18—————
Point-MAE (Rep.)Backbone=Transformer, Inference E-T (s)=38.49, Param.(M)=22.12026.06——————85.18
Point-NNParam.=0.0 M2024.12—64.9—————
PointBERTPre-training=None, Voting=true, Input points=1024, Number of runs=102024.05———83.1———
PointCNNPre-training=None, Voting=true, Input points=1024, Number of runs=102024.05———78.5—75.1—
PointCNN2024.12—78.5—————
PointERbaseline=Point-MAE2026.06—84.93—————
PointERBackbone=RWKV, Inference E-T (s)=27.15, Param.(M)=25.72026.06——————84.93
PointER (Sup.)Backbone=RWKV, Inference E-T (s)=27.15, Param.(M)=25.72026.06——————82.55
PointER-MMbaseline=TAP2026.06—86—————
PointGLABackbone=GLA, Inference E-T (s)=42.04, Param.(M)=22.242026.06——————85.57
PointGLA (Sup.)Backbone=GLA, Inference E-T (s)=42.04, Param.(M)=22.242026.06——————84.25
PointMetaBase-SParam.=0.6 M2024.12—87.9—————
PointMLPParam.=12.6 M2024.12—85.4—————
PointNetPre-training=None, Voting=true, Input points=1024, Number of runs=102024.05———68.2—63.4—
PointNetParam.=3.5 M2024.12—68.2—————
PointNet++Pre-training=None, Voting=true, Input points=1024, Number of runs=102024.05———77.9—75.4—
PointNet++Param.=1.5 M2024.12—77.9—————
PointNeXt-SParam.=1.5 M2024.12—87.7—————
SimpleviewPre-training=None, Voting=true, Input points=1024, Number of runs=102024.05———80.5———
SPoTrPre-training=None, Voting=true, Input points=1024, Number of runs=102024.05———88.6—86.8—
TAPreproduced=true2026.06—85.67—————