One Class One Click: Quasi Scene-level Weakly Supervised Point Cloud Semantic Segmentation with Active Learning

23 November 2022

Papers citing "One Class One Click: Quasi Scene-level Weakly Supervised Point Cloud Semantic Segmentation with Active Learning"

7 / 7 papers shown

Title
LiDAR Remote Sensing Meets Weak Supervision: Concepts, Methods, and Perspectives Yuan Gao Shaobo Xia P. Wang Xiaohuan Xi Sheng Nie Cheng-Xiang Wang 42 1 0 24 Mar 2025
A Radiometric Correction based Optical Modeling Approach to Removing Reflection Noise in TLS Point Clouds of Urban Scenes Li Fang Tianyu Li Yanghong Lin Shudong Zhou Wei Yao 21 1 0 03 Jul 2024
UnScene3D: Unsupervised 3D Instance Segmentation for Indoor Scenes Dávid Rozenberszki Or Litany Angela Dai 3DPC ISeg 27 23 0 25 Mar 2023
Guided Point Contrastive Learning for Semi-supervised Point Cloud Semantic Segmentation Li Jiang Shaoshuai Shi Zhuotao Tian Xin Lai Shu-Lin Liu Chi-Wing Fu Jiaya Jia SSL 3DPC 118 115 0 15 Oct 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
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results Antti Tarvainen Harri Valpola OOD MoMe 244 1,275 0 06 Mar 2017
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 222 14,087 0 02 Dec 2016