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ResearchFormerly WizWand

Few-shot Classification on ModelNet40 10-way 20-shot v1 (test)

95.9AccuracyPCP-MAE
13.7435.0756.477.73Aug 16, 2024
Updated 8mo ago

Evaluation results

MethodLinks
PCP-MAELearning Paradigm=Single-Modal Self-Supervised Representation Learning2024.0895.9
Point-FEMAELearning Paradigm=Single-Modal Self-Supervised Representation Learning2024.0895.8
TAPLearning Paradigm=Cross-Modal Self-Supervised Representation Learning2024.0895.8
ReConLearning Paradigm=Cross-Modal Self-Supervised Representation Learning2024.0895.8
ACTLearning Paradigm=Cross-Modal Self-Supervised Representation Learning2024.0895.6
I2P-MAELearning Paradigm=Cross-Modal Self-Supervised Representation Learning2024.0895.5
PointGPTLearning Paradigm=Single-Modal Self-Supervised Representation Learning2024.0895.2
Joint-MAELearning Paradigm=Cross-Modal Self-Supervised Representation Learning2024.0895.1
Point-MAELearning Paradigm=Single-Modal Self-Supervised Representation Learning2024.0895
Point-M2AELearning Paradigm=Single-Modal Self-Supervised Representation Learning2024.0895
MaskPointLearning Paradigm=Single-Modal Self-Supervised Representation Learning2024.0893.4
Point-BERTLearning Paradigm=Single-Modal Self-Supervised Representation Learning2024.0892.7
OcCoLearning Paradigm=Supervised Learning Only2024.0886.5
PointNetLearning Paradigm=Supervised Learning Only2024.0835.2
DGCNNLearning Paradigm=Supervised Learning Only2024.0816.9