List your company
ResearchFormerly WizWand

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

94AccuracyPoint-FEMAE
16.93636.94356.9576.957Aug 16, 2024
Updated 8mo ago

Evaluation results

MethodLinks
Point-FEMAELearning Paradigm=Single-Modal Self-Supervised Representation Learning2024.0894
PCP-MAELearning Paradigm=Single-Modal Self-Supervised Representation Learning2024.0893.5
ACTLearning Paradigm=Cross-Modal Self-Supervised Representation Learning2024.0893.3
ReConLearning Paradigm=Cross-Modal Self-Supervised Representation Learning2024.0893.3
TAPLearning Paradigm=Cross-Modal Self-Supervised Representation Learning2024.0893.1
Point-MAELearning Paradigm=Single-Modal Self-Supervised Representation Learning2024.0892.6
PointGPTLearning Paradigm=Single-Modal Self-Supervised Representation Learning2024.0892.6
Joint-MAELearning Paradigm=Cross-Modal Self-Supervised Representation Learning2024.0892.6
I2P-MAELearning Paradigm=Cross-Modal Self-Supervised Representation Learning2024.0892.6
Point-M2AELearning Paradigm=Single-Modal Self-Supervised Representation Learning2024.0892.3
MaskPointLearning Paradigm=Single-Modal Self-Supervised Representation Learning2024.0891.4
Point-BERTLearning Paradigm=Single-Modal Self-Supervised Representation Learning2024.0891
OcCoLearning Paradigm=Supervised Learning Only2024.0882.9
PointNetLearning Paradigm=Supervised Learning Only2024.0846.6
DGCNNLearning Paradigm=Supervised Learning Only2024.0819.9