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3D Point Cloud Classification on ScanObjectNN (test)

90.63AccuracyRecon
2.375625.287848.271.1122Aug 4, 2022Dec 14, 2022Apr 25, 2023Sep 4, 2023Jan 14, 2024May 25, 2024Oct 4, 2024

Evaluation results

MethodLinks
ReconInput=PC & I & L, Cross-Modal Transfer=Contrastive Learning, Masking Strategies=Global Random, #Params (M)=140.9, GFLOPS=20.9, Times (h)=34, Evaluation Protocol=Fine-tuned2023.1290.63———————————————
Point-FEMAEInput=PC, Masking Strategies=Hybrid Global & Local, #Params (M)=41.5, GFLOPS=5.0, Times (h)=21, Evaluation Protocol=Fine-tuned2023.1290.22———————————————
I2PInput=PC & I, Cross-Modal Transfer=Projection & 2D Recon., Masking Strategies=2D-Guided, #Params (M)=74.9, GFLOPS=16.8, Times (h)=64, Evaluation Protocol=Fine-tuned2023.1290.11———————————————
PointMLP + ULIPNumber of sampled points=2K2022.1289.4——————88.5————————
P2PPre-train=2D, Tr. Param.=1.2 M, Backbone=HorNet-L-22k-mlp2022.0889.3———————————————
PointMLP + ULIPNumber of sampled points=1K2022.1288.8——————87.8————————
ACTInput=PC, Cross-Modal Transfer=Knowledge Distillation, Masking Strategies=Global Random, #Params (M)=135.5, GFLOPS=31.0, Times (h)=52, Evaluation Protocol=Fine-tuned2023.1288.21———————————————
PointNeXtPre-train=N/A, Tr. Param.=1.4 M2022.0888.2———————————————
P2PPre-train=2D, Tr. Param.=0.25 M, Backbone=ResNet-1012022.0887.4———————————————
PointMLPNumber of sampled points=2K2022.1286.5——————85.1————————
Point-M2AEInput=PC, Masking Strategies=Multi-Scale Global Random, #Params (M)=15.3, GFLOPS=3.7, Times (h)=29, Evaluation Protocol=Fine-tuned2023.1286.43———————————————
PointBERT + ULIPNumber of sampled points=1K2022.1286.4———————————————
RepSurf-U(2x)Pre-train=N/A, Tr. Param.=6.8 M2022.0886.1———————————————
Joint-MAEInput=PC & I, Cross-Modal Transfer=Projection & 2D Recon., Masking Strategies=Global Random, Evaluation Protocol=Fine-tuned2023.1286.07———————————————
RepSurf-U (2x)Number of sampled points=1K2022.1286———————————————
PointMLPNumber of sampled points=1K2022.1285.7——————84.4————————
PointMLPPre-train=N/A, Tr. Param.=12.6 M2022.0885.4———————————————
Point-MAEPre-train=3D, Tr. Param.=21.1 M2022.0885.2———————————————
PointMAENumber of sampled points=1K2022.1285.2———————————————
Point-MAEInput=PC, Masking Strategies=Global Random, #Params (M)=29.0, GFLOPS=2.3, Times (h)=13, Evaluation Protocol=Fine-tuned2023.1285.18———————————————
RepSurf-UNumber of sampled points=1K2022.1284.6———————————————
PointMLP-elitePre-train=N/A, Tr. Param.=0.68 M2022.0883.8———————————————
Point-BERTPre-train=3D, Tr. Param.=21.1 M2022.0883.1———————————————
PointBERTNumber of sampled points=1K2022.1283.1———————————————
MVTNPre-train=N/A, Tr. Param.=14.0 M2022.0882.8———————————————
MVTNNumber of sampled points=1K2022.1282.8———————————————
PRANetPre-train=N/A, Tr. Param.=2.3 M2022.0882.1———————————————
DGCNNPre-train=N/A, Tr. Param.=1.8 M2022.0878.1———————————————
DGCNNNumber of sampled points=1K2022.1278.1——————73.6————————
PointNet++Pre-train=N/A, Tr. Param.=1.4 M2022.0877.9———————————————
PointNet++Number of sampled points=1K2022.1277.9——————75.4————————
PointNet++Scheme=Clean2024.1077.38———————————————
PointConvScheme=Clean2024.1075.42———————————————
3DGCNScheme=Clean2024.1073.84———————————————
PointMLPScheme=Clean2024.1073.32———————————————
DGCNNScheme=Clean2024.1072.66———————————————
CurveNetScheme=Clean2024.1070.92———————————————
PointNetNumber of sampled points=1K2022.1268.2——————63.4————————
PointCNNScheme=Clean2024.1066.96———————————————
RIConv++Scheme=Clean2024.1066.34———————————————
CurveNetScheme=UMT(k=1)2024.1065.49———————————————
PointNetScheme=Clean2024.1065.2———————————————
PointNet++Scheme=UMT(k=1)2024.1063.01———————————————
PointMLPScheme=UMT(k=1)2024.1062.96———————————————
RIConv++Scheme=UMT(k=1)2024.1062.33———————————————
PointNNScheme=Clean2024.1058.17———————————————
DGCNNScheme=UMT(k=1)2024.1057.93———————————————
PointConvScheme=UMT(k=1)2024.1056.71———————————————
PointNetScheme=UMT(k=1)2024.1056.55———————————————
3DGCNScheme=UMT(k=3)2024.1056.32———————————————
PointNNScheme=UMT(k=1)2024.1054.56———————————————
3DGCNScheme=UMT(k=1)2024.1052.89———————————————
3DGCNScheme=UMT(k=2)2024.1052.37———————————————
PointCNNScheme=UMT(k=1)2024.1051.97———————————————
SimpleViewScheme=Clean2024.1051.93———————————————
PCTScheme=Clean2024.1050.75———————————————
PointNet++Scheme=UMT(k=2)2024.1049.41———————————————
PointNNScheme=UMT(k=3)2024.1048.94———————————————
PointNNScheme=UMT(k=2)2024.1048.25———————————————
PCTScheme=UMT(k=1)2024.1047.05———————————————
3DGCNScheme=UMT(k=4)2024.1046.06———————————————
PointNNScheme=UMT(k=4)2024.1045.27———————————————
PointNet++Scheme=UMT(k=3)2024.1041.96———————————————
SimpleViewScheme=UMT(k=1)2024.1038.96———————————————
PointNet++Scheme=UMT(k=4)2024.1034.65———————————————
RIConv++Scheme=UMT(k=4)2024.1031.83———————————————
PointMLPScheme=UMT(k=3)2024.1023.05———————————————
PCTScheme=UMT(k=3)2024.1022.02———————————————
CurveNetScheme=UMT(k=3)2024.1021.43———————————————
CurveNetScheme=UMT(k=2)2024.1021.35———————————————
DGCNNScheme=UMT(k=2)2024.1020.96———————————————
PointConvScheme=UMT(k=2)2024.1020.78———————————————
SimpleViewScheme=UMT(k=2)2024.1020.73———————————————
SimpleViewScheme=UMT(k=4)2024.1020.09———————————————
PointConvScheme=UMT(k=3)2024.1019.96———————————————
PCTScheme=UMT(k=4)2024.1017.86———————————————
PointMLPScheme=UMT(k=2)2024.1016.32———————————————
CurveNetScheme=UMT(k=4)2024.1015.28———————————————
PCTScheme=UMT(k=2)2024.1015.1———————————————
DGCNNScheme=UMT(k=3)2024.1014.62———————————————
PointNetScheme=UMT(k=2)2024.1014.55———————————————
PointCNNScheme=UMT(k=2)2024.1013.61———————————————
PointConvScheme=UMT(k=4)2024.1012.79———————————————
DGCNNScheme=UMT(k=4)2024.1012.16———————————————
SimpleViewScheme=UMT(k=3)2024.1011.79———————————————
RIConv++Scheme=UMT(k=3)2024.1011.69———————————————
PointNetScheme=UMT(k=3)2024.1010.92———————————————
RIConv++Scheme=UMT(k=2)2024.1010.76———————————————
PointCNNScheme=UMT(k=3)2024.1010.62———————————————
PointCNNScheme=UMT(k=4)2024.109.87———————————————
PointMLPScheme=UMT(k=4)2024.108.76———————————————
PointNetScheme=UMT(k=4)2024.105.77———————————————
3DmFV2020.12—68.267.167.463.56373.8—————————
AdvStickClassifier=PointNet2025.12————————————87.551.816.7210
AdvStickClassifier=DGCNN2025.12————————————85.910.454.01500
AdvStickClassifier=PTv12025.12————————————74.78.16.13500
AdvStickClassifier=Mamba3D2025.12————————————88.158.353.98500
CG3Dtraining shape=ShapeNet, zero-shot=true2023.05—————————42.557.360.8————
CLIP2Pointtraining shape=ShapeNet, zero-shot=true2023.05—————————25.544.659.4————
CritOccClassifier=PointNet2025.12————————————43.831.82.5770