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3D Point Cloud Classification on ScanObjectNN

97.2AccuracyOmniVec2
21.69641.29860.980.502May 14, 2020Mar 23, 2021Jan 30, 2022Dec 9, 2022Oct 18, 2023Aug 26, 2024Jul 6, 2025

Evaluation results

MethodLinks
OmniVec2Modality=3D Point Cloud2025.0797.2——————————————————
OmniVecModality=3D Point Cloud2025.0796.1——————————————————
PointNeXt (w/ ULIP-2)*#Params (M)=1.4, voting=true2023.0591.590.9—————————————————
PointNeXt (w/ ULIP-2)#Params (M)=1.4, voting=false2023.0591.190.3—————————————————
I2P-MAE#Params (M)=12.92023.0590.1——————————————————
PointNeXt (w/ ULIP)#Params (M)=1.42023.0590.189.2—————————————————
I2P-MAEPre-training=fine-tuning after self-supervised pre-training2024.0190.1——————————————————
Point-BERT (w/ ULIP-2)#Params (M)=22.12023.0589.7——————————————————
Recon-s#Params (M)=192023.0589.5——————————————————
P2Pbackbone=HorNet-L-22k-mlp, pre-train=2D, trainable parameters=1.2 M2022.0889.3——————————————————
P2P2023.0589.3——————————————————
Point-BERT (w/ ULIP)#Params (M)=22.12023.0588.7——————————————————
PointNeXtpre-train=N/A, trainable parameters=1.4 M2022.0888.2——————————————————
ACT#Params (M)=22.12023.0588.2——————————————————
ACTPre-training=fine-tuning after self-supervised pre-training2024.0188.2——————————————————
PointMeta2024.0187.9——————————————————
PointNeXt (from scratch)#Params (M)=1.42023.0587.585.9—————————————————
P2Pbackbone=ResNet-101, pre-train=2D, trainable parameters=0.25 M2022.0887.4——————————————————
PointCMT#Params (M)=12.62023.0586.784.8—————————————————
PointMLS2024.0186.6——————————————————
Point-M2AE#Params (M)=15.32023.0586.4——————————————————
Point-M2AEPre-training=fine-tuning after self-supervised pre-training2024.0186.4——————————————————
RepSurf-U(2x)pre-train=N/A, trainable parameters=6.8 M2022.0886.1——————————————————
RepSurf-U2024.0186——————————————————
PointMLP#Params (M)=12.62023.0585.784.4—————————————————
PointMLPpre-train=N/A, trainable parameters=12.6 M2022.0885.4——————————————————
PointMLPRe-implementation=true2024.0185.4——————————————————
Point-MAEpre-train=3D, trainable parameters=21.1 M2022.0885.2——————————————————
Point-MAE#Params (M)=22.12023.0585.2——————————————————
Point-MAEPre-training=fine-tuning after self-supervised pre-training2024.0185.2——————————————————
RepSurf-U#Params (M)=1.52023.0584.6——————————————————
MaskPointPre-training=fine-tuning after self-supervised pre-training2024.0184.3——————————————————
PointMLP-elitepre-train=N/A, trainable parameters=0.68 M2022.0883.8——————————————————
Point-BERTpre-train=3D, trainable parameters=21.1 M2022.0883.1——————————————————
Point-BERT (official)#Params (M)=22.12023.0583.1——————————————————
Point-BERTPre-training=fine-tuning after self-supervised pre-training2024.0183.1——————————————————
MVTNpre-train=N/A, trainable parameters=14.0 M2022.0882.8——————————————————
MVTN#Params (M)=11.22023.0582.8——————————————————
PRANetpre-train=N/A, trainable parameters=2.3 M2022.0882.1——————————————————
ADPG2020.0580.37866.381.949.676.39165.392.291.483.871.579.175.275.891.978.8——
PointCNN2020.0578.575.157.882.933.183.692.665.378.484.884.267.4808072.591.971.8——
PointCNNTraining Dataset=ScanObjectNN2021.0678.5——————————————————
DGCNN2020.0578.173.649.482.433.183.991.863.3778979.377.464.577.17591.469.4——
DGCNNTraining Dataset=ScanObjectNN2021.0678.1——————————————————
DGCNNpre-train=N/A, trainable parameters=1.8 M2022.0878.1——————————————————
DGCNN#Params (M)=1.82023.0578.173.6—————————————————
PointNet++2020.0577.975.449.484.431.677.491.37479.485.272.672.675.58180.890.585.9——
PointNet++Training Dataset=ScanObjectNN2021.0677.9——————————————————
PointNet++pre-train=N/A, trainable parameters=1.4 M2022.0877.9——————————————————
PointNet++#Params (M)=1.52023.0577.975.4—————————————————
PointNet++2024.0175.4——————————————————
PointCNN2024.0175.1——————————————————
SpiderCNN2020.0573.769.843.475.912.874.28965.374.591.47865.969.18065.890.570.6——
SpiderCNNTraining Dataset=ScanObjectNN2021.0673.7——————————————————
DGCNN2024.0173.6——————————————————
PointNet2020.0568.263.436.169.810.562.689507393.872.667.861.867.664.276.755.3——
PointNetTraining Dataset=ScanObjectNN2021.0668.2——————————————————
PointNet#Params (M)=3.52023.0568.263.4—————————————————
PointNet2024.0163.4——————————————————
3DmFV2020.056358.139.862.81565.184.43662.385.260.666.751.861.946.772.461.2——
3DmFVTraining Dataset=ScanObjectNN2021.0663——————————————————
MetaSetsBackbone=DGCNN2022.0460.92——————————————————
LDGCNN2022.0457.92——————————————————
DGCNN2022.0457.42——————————————————
MetaSetsBackbone=PointNet2022.0455.25——————————————————
PointDANBackbone=PointNet2022.0454.95——————————————————
PointNet2022.0454——————————————————
ConvPoint2022.0452.58——————————————————
PointCNN2022.0449.42——————————————————
PointNet++2022.0445.5——————————————————
DGCNNTraining Dataset=ModelNet402021.0636.8——————————————————
PointNet++Training Dataset=ModelNet402021.0632——————————————————
PointNetTraining Dataset=ModelNet402021.0631.1——————————————————
SpiderCNNTraining Dataset=ModelNet402021.0630.9——————————————————
3DmFVTraining Dataset=ModelNet402021.0624.9——————————————————
PointCNNTraining Dataset=ModelNet402021.0624.6——————————————————
PointBERT + ULIPmode=zero-shot, Modality=P+I+T2022.12—————————————————48.579.9
PointCLIPmode=zero-shot2022.12—————————————————15.4—
PointMLP + ULIPmode=zero-shot, Modality=P+I+T2022.12—————————————————44.682.3
PointNet++(msg) + ULIPmode=zero-shot, Modality=P+I+T2022.12—————————————————49.978.8
PointNet++(ssg) + ULIPmode=zero-shot, Modality=P+I+T2022.12—————————————————45.673.8
Uni3D-baseteacher=OpenCLIP-G/14, data=w/o LVIS, zero-shot=true2024.02—————————————————58.9—
Uni3D-baseteacher=EVA-02-CLIP-E/14+, data=w/o LVIS, zero-shot=true2024.02—————————————————61.7—
Uni3D-baseteacher=EVA-CLIP-8B, data=w/o LVIS, zero-shot=true2024.02—————————————————62.7—
Uni3D-baseteacher=EVA-CLIP-18B, data=w/o LVIS, zero-shot=true2024.02—————————————————65.3—
Uni3D-baseteacher=EVA-02-CLIP-E/14+, data=Ensembled, zero-shot=true2024.02—————————————————63.8—
Uni3D-baseteacher=EVA-CLIP-18B, data=Ensembled, zero-shot=true2024.02—————————————————67.8—