SOTAVerified

Few-Shot 3D Point Cloud Classification

Papers

Showing 125 of 31 papers

TitleStatusHype
Attention Is All You NeedCode3
PointCNN: Convolution On X-Transformed PointsCode3
ShapeLLM: Universal 3D Object Understanding for Embodied InteractionCode3
PCP-MAE: Learning to Predict Centers for Point Masked AutoencodersCode2
CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud UnderstandingCode2
Learning 3D Representations from 2D Pre-trained Models via Image-to-Point Masked AutoencodersCode2
PointGPT: Auto-regressively Generative Pre-training from Point CloudsCode2
Masked Autoencoders for Point Cloud Self-supervised LearningCode2
Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-trainingCode2
Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point ModelingCode1
Towards Compact 3D Representations via Point Feature Enhancement Masked AutoencodersCode1
A Closer Look at Few-Shot 3D Point Cloud ClassificationCode1
Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?Code1
Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative PretrainingCode1
Dynamic Graph CNN for Learning on Point CloudsCode1
GPr-Net: Geometric Prototypical Network for Point Cloud Few-Shot LearningCode1
Instance-aware Dynamic Prompt Tuning for Pre-trained Point Cloud ModelsCode1
Masked Discrimination for Self-Supervised Learning on Point CloudsCode1
Point2Vec for Self-Supervised Representation Learning on Point CloudsCode1
Point-JEPA: A Joint Embedding Predictive Architecture for Self-Supervised Learning on Point CloudCode1
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric SpaceCode1
PointNet: Deep Learning on Point Sets for 3D Classification and SegmentationCode1
Unsupervised Point Cloud Pre-Training via Occlusion CompletionCode1
Regress Before Construct: Regress Autoencoder for Point Cloud Self-supervised LearningCode1
Self-Supervised Few-Shot Learning on Point CloudsCode1
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