PS^2-Net: A Locally and Globally Aware Network for Point-Based Semantic Segmentation

15 Aug 2019Na ZhaoTat-Seng ChuaGim Hee Lee

In this paper, we present the PS^2-Net -- a locally and globally aware deep learning framework for semantic segmentation on 3D scene-level point clouds. In order to deeply incorporate local structures and global context to support 3D scene segmentation, our network is built on four repeatedly stacked encoders, where each encoder has two basic components: EdgeConv that captures local structures and NetVLAD that models global context... (read more)

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