Self-Supervised Pre-Training Boosts Semantic Scene Segmentation on LiDAR Data

5 September 2023

Papers citing "Self-Supervised Pre-Training Boosts Semantic Scene Segmentation on LiDAR Data"

8 / 8 papers shown

Title
LibAFL-DiFuzz: Advanced Architecture Enabling Directed Fuzzing Darya Parygina Timofey Mezhuev D. Kuts 34 0 0 26 Dec 2024
Unsupervised semantic segmentation of urban high-density multispectral point clouds Oona Oinonen Lassi Ruoppa Josef Taher Matti Lehtomäki Leena Matikainen Kirsi Karila Teemu Hakala A. Kukko Harri Kaartinen Juha Hyyppa 24 1 0 24 Oct 2024
Object Segmentation of Cluttered Airborne LiDAR Point Clouds Mariona Carós Ariadna Just Santi Seguí Jordi Vitrià 3DPC 40 4 0 28 Oct 2022
Self-Supervised Pretraining of 3D Features on any Point-Cloud Zaiwei Zhang Rohit Girdhar Armand Joulin Ishan Misra 3DPC 124 268 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
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 14,099 0 02 Dec 2016
Spatial Transformer Networks Max Jaderberg Karen Simonyan Andrew Zisserman Koray Kavukcuoglu 138 7,335 0 05 Jun 2015