Jiahui Wang, Haiyue Zhu, Haoren Guo, Abdullah Al Mamun, Vadakkepat Prahlad...
TL;DR本研究提出一种基于few-shot学习方法的零件分割算法,旨在提高算法对新分割任务的适应性以及对较小的数据量的敏感度,改善完全监督学习方法对数据集完备性的依赖。同时,采用transform net和center loss block有助于改善3D工件形状的理解和特征空间内同一类别的分布。
Abstract
3d part segmentation is an essential step in advanced cam/cad workflow. Precise 3D segmentation contributes to lower defective rate of work-pieces produced by the manufacturing equipment (such as computer control