LiDAL: Inter-frame Uncertainty Based Active Learning for 3D LiDAR Semantic Segmentation

11 November 2022

Papers citing "LiDAL: Inter-frame Uncertainty Based Active Learning for 3D LiDAR Semantic Segmentation"

6 / 6 papers shown

Title
MILAN: Milli-Annotations for Lidar Semantic Segmentation Nermin Samet Gilles Puy Oriane Siméoni Renaud Marlet 3DPC 32 0 0 22 Jul 2024
$360$^\circ$ from a Single Camera: A Few-Shot Approach for LiDAR Segmentation$ 360 $^\circ$ from a Single Camera: A Few-Shot Approach for LiDAR Segmentation Laurenz Reichardt Nikolas Ebert Oliver Wasenmüller 3DPC 43 10 0 12 Sep 2023
A Survey of Label-Efficient Deep Learning for 3D Point Clouds Aoran Xiao Xiaoqin Zhang Ling Shao Shijian Lu 3DPC 38 18 0 31 May 2023
Self-Supervised Pretraining of 3D Features on any Point-Cloud Zaiwei Zhang Rohit Girdhar Armand Joulin Ishan Misra 3DPC 126 268 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 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