2024
Mitigating Intra-Class Variance in Few-Shot Point Cloud Classification
ICASSP 2024accepted
Due to the significant intra-class variance of 3D point clouds, it becomes challenging to characterize prototype features with a small number of instances in few-shot classification. The significant feature discrepancies among instances also hinder category determination. In this paper, we propose a…