AI RESEARCH
PointCSP: Cross-Sample Semantic Propagation and Stability Preservation in Self-Supervised Point Cloud Learning
arXiv CS.CV
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ArXi:2605.01759v1 Announce Type: new Scene-level point cloud self-supervised learning (PC-SSL) has nstrated potential in enhancing the generalization capability of 3D vision models. Despite the advances in the field through existing methods, the sample-independent modeling paradigm still poses significant limitations in terms of maintaining consistent semantic representations across scenes. This challenge hinders the construction of a unified and transferable semantic space.