Exploiting Local and Global Structure for Point Cloud Semantic Segmentation with Contextual Point Representations

13 November 2019

Papers citing "Exploiting Local and Global Structure for Point Cloud Semantic Segmentation with Contextual Point Representations"

6 / 6 papers shown

Title
Adaptive Edge-to-Edge Interaction Learning for Point Cloud Analysis Shanshan Zhao Biwei Huang Xi Li Dacheng Tao 3DPC 20 0 0 20 Nov 2022
Point-DAE: Denoising Autoencoders for Self-supervised Point Cloud Learning Yabin Zhang Jiehong Lin Ruihuang Li Kui Jia Lei Zhang 3DPC 27 7 0 13 Nov 2022
Hierarchical Point Cloud Encoding and Decoding with Lightweight Self-Attention based Model En Yen Puang Hao Zhang Hongyuan Zhu Wei Jing 3DPC 28 8 0 13 Feb 2022
Similarity-Aware Fusion Network for 3D Semantic Segmentation Linqing Zhao Jiwen Lu Jie Zhou 3DPC 25 13 0 04 Jul 2021
DLA-Net: Learning Dual Local Attention Features for Semantic Segmentation of Large-Scale Building Facade Point Clouds Yanfei Su Weiquan Liu Zhimin Yuan Ming Cheng Zhihong Zhang Xuelun Shen Cheng-Yu Wang 3DPC 20 38 0 01 Jun 2021
Boundary-Aware Geometric Encoding for Semantic Segmentation of Point Clouds Jingyu Gong Jiachen Xu Xin Tan Jie Zhou Yanyun Qu Yuan Xie Lizhuang Ma 3DPC 32 46 0 07 Jan 2021