PointLGGS: Parallel Local-Global Dual-Path for Efficient Point Cloud Classification
A lightweight point cloud classification network named PointLGGS, which achieves classification accuracies of 94.0% and 90.7% on the ModelNet40 and ScanObjectNN datasets, with only 4.6 million parameters, thereby striking an excellent balance between classification accuracy and model efficiency.