Few-Shot Point Cloud Classification
3 papers with code • 3 benchmarks • 3 datasets
Few-Shot Learning on point cloud classification task
Benchmarks
These leaderboards are used to track progress in Few-Shot Point Cloud Classification
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ModelNet
ScanObjectNN
ModelNet40-C
Most implemented papers
Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point Modeling
lulutang0608/Point-BERT
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CVPR 2022
Inspired by BERT, we devise a Masked Point Modeling (MPM) task to pre-train point cloud Transformers.
ViewNet: A Novel Projection-Based Backbone With View Pooling for Few-Shot Point Cloud Classification
jiajingchen113322/ViewNet
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CVPR 2023
Existing FSL methods for 3D point clouds employ point-based models as their backbone.
What Makes for Effective Few-shot Point Cloud Classification?
cgye96/a_closer_look_at_3dfsl
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Due to the emergence of powerful computing resources and large-scale annotated datasets, deep learning has seen wide applications in our daily life.
