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ResearchFormerly WizWand

Few-shot classification on ModelNet40 5-way 10-shot v1 (test)

0.974AccuracyPCP-MAE
0.289680.467340.6450.82266Aug 16, 2024
Updated 8mo ago

Evaluation results

MethodLinks
PCP-MAELearning Paradigm=Single-Modal Self-Supervised Representation Learning2024.080.974
TAPLearning Paradigm=Cross-Modal Self-Supervised Representation Learning2024.080.973
ReConLearning Paradigm=Cross-Modal Self-Supervised Representation Learning2024.080.973
Point-FEMAELearning Paradigm=Single-Modal Self-Supervised Representation Learning2024.080.972
I2P-MAELearning Paradigm=Cross-Modal Self-Supervised Representation Learning2024.080.97
Point-M2AELearning Paradigm=Single-Modal Self-Supervised Representation Learning2024.080.968
PointGPTLearning Paradigm=Single-Modal Self-Supervised Representation Learning2024.080.968
ACTLearning Paradigm=Cross-Modal Self-Supervised Representation Learning2024.080.968
Joint-MAELearning Paradigm=Cross-Modal Self-Supervised Representation Learning2024.080.967
Point-MAELearning Paradigm=Single-Modal Self-Supervised Representation Learning2024.080.963
MaskPointLearning Paradigm=Single-Modal Self-Supervised Representation Learning2024.080.95
Point-BERTLearning Paradigm=Single-Modal Self-Supervised Representation Learning2024.080.946
OcCoLearning Paradigm=Supervised Learning Only2024.080.906
PointNetLearning Paradigm=Supervised Learning Only2024.080.52
DGCNNLearning Paradigm=Supervised Learning Only2024.080.316