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Few-Shot 3D Point Cloud Classification

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Showing 1–25 of 31 papers

TitleStatusHype
Rethinking Masked Representation Learning for 3D Point Cloud UnderstandingCode0
3D-JEPA: A Joint Embedding Predictive Architecture for 3D Self-Supervised Representation Learning—0
PCP-MAE: Learning to Predict Centers for Point Masked AutoencodersCode2
Point-JEPA: A Joint Embedding Predictive Architecture for Self-Supervised Learning on Point CloudCode1
ShapeLLM: Universal 3D Object Understanding for Embodied InteractionCode3
Towards Compact 3D Representations via Point Feature Enhancement Masked AutoencodersCode1
Regress Before Construct: Regress Autoencoder for Point Cloud Self-supervised LearningCode1
CrossMoCo: Multi-modal Momentum Contrastive Learning for Point CloudCode0
Point-LGMask: Local and Global Contexts Embedding for Point Cloud Pre-training with Multi-Ratio MaskingCode0
PointGPT: Auto-regressively Generative Pre-training from Point CloudsCode2
Multi-view Vision-Prompt Fusion Network: Can 2D Pre-trained Model Boost 3D Point Cloud Data-scarce Learning?—0
Instance-aware Dynamic Prompt Tuning for Pre-trained Point Cloud ModelsCode1
GPr-Net: Geometric Prototypical Network for Point Cloud Few-Shot LearningCode1
A Closer Look at Few-Shot 3D Point Cloud ClassificationCode1
Point2Vec for Self-Supervised Representation Learning on Point CloudsCode1
Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative PretrainingCode1
Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?Code1
Learning 3D Representations from 2D Pre-trained Models via Image-to-Point Masked AutoencodersCode2
Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-trainingCode2
Masked Discrimination for Self-Supervised Learning on Point CloudsCode1
Masked Autoencoders for Point Cloud Self-supervised LearningCode2
CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud UnderstandingCode2
Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point ModelingCode1
Unsupervised Point Cloud Pre-Training via Occlusion CompletionCode1
Self-Supervised Few-Shot Learning on Point CloudsCode1
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