Refine Then Fusion: Training-Free 3D Point Cloud Adaptation with Priority Refinement and Multi-Modal Knowledge Fusion
cs.CV
Submitted: 2026-09-18
Updated: 2026-09-18
Terminology
Sources
- GAPrompt: Geometry-Aware Point Cloud Prompt for 3D Vision Model
- Meta-Adapter: An Online Few-shot Learner for Vision-Language Model
- An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
- CLIP-Adapter: Better Vision-Language Models with Feature Adapters
- LXMERT: Learning Cross-Modality Encoder Representations from Transformers
- Beyond First Impressions: Integrating Joint Multi-modal Cues for Comprehensive 3D Representation
- 3D ShapeNets: A Deep Representation for Volumetric Shapes
- Parameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud Analysis
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