Unsupervised Domain Adaptation in LiDAR Semantic Segmentation with Self-Supervision and Gated Adapters

20 July 2021

Papers citing "Unsupervised Domain Adaptation in LiDAR Semantic Segmentation with Self-Supervision and Gated Adapters"

8 / 8 papers shown

Title
3D Can Be Explored In 2D: Pseudo-Label Generation for LiDAR Point Clouds Using Sensor-Intensity-Based 2D Semantic Segmentation Andrew Caunes T. Chateau Vincent Frémont 3DPC 26 0 0 06 May 2025
LeAP: Consistent multi-domain 3D labeling using Foundation Models Simon Gebraad Andras Palffy Holger Caesar 131 1 0 06 Feb 2025
$360$^\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
Compositional Semantic Mix for Domain Adaptation in Point Cloud Segmentation Cristiano Saltori Fabio Galasso G. Fiameni N. Sebe Fabio Poiesi Elisa Ricci 3DPC 34 19 0 28 Aug 2023
Fake it, Mix it, Segment it: Bridging the Domain Gap Between Lidar Sensors Frederik Hasecke Pascal Colling A. Kummert 3DPC 33 3 0 19 Dec 2022
Deep Visual Domain Adaptation G. Csurka OOD 138 185 0 28 Dec 2020
Domain Adaptation in LiDAR Semantic Segmentation by Aligning Class Distributions Inigo Alonso L. Riazuelo Luis Montesano Ana C. Murillo 3DPC OOD 56 29 0 23 Oct 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 222 14,099 0 02 Dec 2016