Label-Efficient Point Cloud Semantic Segmentation: An Active Learning Approach

18 January 2021

Papers citing "Label-Efficient Point Cloud Semantic Segmentation: An Active Learning Approach"

7 / 7 papers shown

Title
A Review and A Robust Framework of Data-Efficient 3D Scene Parsing with Traditional/Learned 3D Descriptors Kangcheng Liu 3DPC 16 0 0 03 Dec 2023
Exploring Active 3D Object Detection from a Generalization Perspective Yadan Luo Zhuoxiao Chen Zijian Wang Xin Yu Zi Huang Mahsa Baktash 3DPC 31 26 0 23 Jan 2023
LESS: Label-Efficient Semantic Segmentation for LiDAR Point Clouds Minghua Liu Yin Zhou C. Qi Boqing Gong Hao Su Drago Anguelov 3DPC 39 54 0 14 Oct 2022
Superpoint-guided Semi-supervised Semantic Segmentation of 3D Point Clouds Shuang Deng Qiulei Dong Bo Liu Zhanyi Hu 3DPC 19 27 0 08 Jul 2021
Weakly Supervised 3D Object Detection from Point Clouds Zengyi Qin Jinglu Wang Yan Lu 3DPC 77 62 0 28 Jul 2020
PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding Saining Xie Jiatao Gu Demi Guo C. Qi Leonidas J. Guibas Or Litany 3DPC 141 622 0 21 Jul 2020
Unsupervised Multi-Task Feature Learning on Point Clouds Kaveh Hassani Mike Haley SSL 3DPC 117 193 0 18 Oct 2019