arXiv cs.CV
· Papers
Point-Selection Fine-Tuning Framework for Robust Point Cloud Classification
arXiv:2607.19711v1 Announce Type: new Abstract: Noisy and corrupted points can substantially degrade point cloud recognition performance, especially under challenging corruption settings. In particular, full fine-tuning of 3D pre-trained models may amplify the influence of outliers and overwrite robustness priors learn