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ResearchFormerly WizWand

3D Object Classification on ScanObjectNN PB_T50_RS v1.0

90.63AccuracyReCon
67.094873.204979.31585.4251Aug 16, 2024Nov 4, 2024Jan 23, 2025Apr 13, 2025Jul 2, 2025Sep 20, 2025Dec 9, 2025
Updated 8mo ago

Evaluation results

MethodLinks
ReCon#P (M)=43.6, Input=2k Points2024.0890.63
PCP-MAE#P (M)=22.1, Input=2k Points2024.0890.35
Point-FEMAE#P (M)=27.4, Input=2k Points2024.0890.22
I2P-MAE#P (M)=15.3, Input=2k Points2024.0890.11
P2P-HorNet#P (M)=195.8, Input=40 Images2024.0889.3
P2P-HorNetLearning Paradigm=Supervised Learning, Backbone=HorNet2025.1289.3
PointDicoLearning Paradigm=Diffusion-based SSL, Voting Strategy=true2025.1289.1
ACT#P (M)=22.1, Input=2k Points2024.0888.21
SFRInput=20 Images2024.0887.8
PointNeXtLearning Paradigm=Supervised Learning2025.1287.7
P2P-RN101Learning Paradigm=Supervised Learning, Backbone=ResNet-1012025.1287.4
PointGPT#P (M)=19.5, Input=2k Points2024.0886.9
Point-M2AE#P (M)=15.3, Input=2k Points2024.0886.43
Joint-MAEInput=2k Points2024.0886.07
TAP#P (M)=22.1, Input=2k Points2024.0885.67
PointMLP#P (M)=12.6, Input=1k Points2024.0885.4
PointMLPLearning Paradigm=Supervised Learning2025.1285.4
Point-MAE#P (M)=22.1, Input=2k Points2024.0885.18
MaskPointInput=2k Points2024.0884.3
Point-BERT#P (M)=22.1, Input=1k Points2024.0883.07
MVTN#P (M)=11.2, Input=20 Images2024.0882.8
SimpleViewInput=6 Images2024.0880.5
SimpleViewLearning Paradigm=Supervised Learning2025.1280.5
DGCNN#P (M)=1.8, Input=1k Points2024.0878.1
PointNet++#P (M)=1.5, Input=1k Points2024.0877.9
PointNet#P (M)=3.5, Input=1k Points2024.0868