PointMatch: A Consistency Training Framework for Weakly Supervised Semantic Segmentation of 3D Point Clouds

22 February 2022

Papers citing "PointMatch: A Consistency Training Framework for Weakly Supervised Semantic Segmentation of 3D Point Clouds"

6 / 6 papers shown

Title
Mix3D: Out-of-Context Data Augmentation for 3D Scenes Alexey Nekrasov Jonas Schult Or Litany Bastian Leibe Francis Engelmann 3DPC 142 154 0 05 Oct 2021
Cross-Domain Adaptive Clustering for Semi-Supervised Domain Adaptation Jichang Li Guanbin Li Yemin Shi Yizhou Yu 61 120 0 19 Apr 2021
Self-Supervised Pretraining of 3D Features on any Point-Cloud Zaiwei Zhang Rohit Girdhar Armand Joulin Ishan Misra 3DPC 120 268 0 07 Jan 2021
PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding Saining Xie Jiatao Gu Demi Guo C. Qi Leonidas J. Guibas Or Litany 3DPC 139 620 0 21 Jul 2020
OccuSeg: Occupancy-aware 3D Instance Segmentation Lei Han Tian Zheng Lan Xu Lu Fang 3DPC 150 256 0 14 Mar 2020
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 219 14,047 0 02 Dec 2016