Uncertainty Gates the Gradient: Adaptive Updates for Generalized Few-Shot 3D Segmentation.

arXiv:2610.26909v1 Announce Type: cross Abstract: In generalized few-shot 3D point cloud segmentation, support annotations are often compromised by sparsity and occlusion. Blindly adapting to such low quality samples risks learning spurious geometric patterns