Parameter-efficient Prompt Learning for 3D Point Cloud Understanding
Hongyu Sun,Yongcai Wang,Wang Chen,Haoran Deng,Deying Li,Hongyu Sun,Yongcai Wang,Wang Chen,Haoran Deng,Deying Li
This paper presents a parameter-efficient prompt tuning method, named PPT, to adapt a large multi-modal model for 3D point cloud understanding. Existing strategies are quite expensive in computation and storage, and depend on timeconsuming prompt engineering. We address the problems from three aspects. Firstly, a PromptLearner module is devised to replace hand-crafted prompts with learnable contex...
