Point-PRC: A Prompt Learning Based Regulation Framework for Generalizable Point Cloud Analysis Hongyu Sun

Recent works demonstrate the performances of 3D point cloud recognition can be boosted remarkably by parameter-efficient prompt tuning. However, we observe that the improvement on downstream tasks comes at the expense of a severe drop in 3D domain generalization.