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ResearchFormerly WizWand

Few-shot Classification on ModelNet40 5-way 20-shot v1 (test)

99.1AccuracyPCP-MAE
38.46854.20969.9585.691Aug 16, 2024
Updated 8mo ago

Evaluation results

MethodLinks
PCP-MAELearning Paradigm=Single-Modal Self-Supervised Representation Learning2024.0899.1
ReConLearning Paradigm=Cross-Modal Self-Supervised Representation Learning2024.0898.9
PointGPTLearning Paradigm=Single-Modal Self-Supervised Representation Learning2024.0898.6
Point-FEMAELearning Paradigm=Single-Modal Self-Supervised Representation Learning2024.0898.6
Point-M2AELearning Paradigm=Single-Modal Self-Supervised Representation Learning2024.0898.3
I2P-MAELearning Paradigm=Cross-Modal Self-Supervised Representation Learning2024.0898.3
ACTLearning Paradigm=Cross-Modal Self-Supervised Representation Learning2024.0898
Joint-MAELearning Paradigm=Cross-Modal Self-Supervised Representation Learning2024.0897.9
Point-MAELearning Paradigm=Single-Modal Self-Supervised Representation Learning2024.0897.8
TAPLearning Paradigm=Cross-Modal Self-Supervised Representation Learning2024.0897.8
MaskPointLearning Paradigm=Single-Modal Self-Supervised Representation Learning2024.0897.2
Point-BERTLearning Paradigm=Single-Modal Self-Supervised Representation Learning2024.0896.3
OcCoLearning Paradigm=Supervised Learning Only2024.0892.5
PointNetLearning Paradigm=Supervised Learning Only2024.0857.8
DGCNNLearning Paradigm=Supervised Learning Only2024.0840.8