2022
Enrich Features for Few-Shot Point Cloud Classification
ICASSP 2022accepted
Recently, many existing fully supervised methods for point cloud classification have strongly promoted the development of point cloud learning. However, these methods require a lot of labeled data as support, which is challenging to obtain. To alleviate this problem, we propose a novel few-shot poin…