Papers 3D Unsupervised Domain Adaptation

“3D Unsupervised Domain Adaptation” 태그가 달린 논문 4편 · 필터 해제

SALUDA: Surface-based Automotive Lidar Unsupervised Domain Adaptation

2023-04-06 · Björn Michele, Alexandre Boulch, Gilles Puy, Tuan-Hung Vu 외

Learning models on one labeled dataset that generalize well on another domain is a difficult task, as several shifts might happen between the data domains. This is notably the case for lidar data, for which models can ex…

3D Unsupervised Domain Adaptation Domain Adaptation Semantic Segmentation Unsupervised Domain Adaptation

PolarMix: A General Data Augmentation Technique for LiDAR Point Clouds

2022-07-30 · Aoran Xiao, Jiaxing Huang, Dayan Guan, Kaiwen Cui 외

LiDAR point clouds, which are usually scanned by rotating LiDAR sensors continuously, capture precise geometry of the surrounding environment and are crucial to many autonomous detection and navigation tasks. Though many…

3D Object Detection 3D Unsupervised Domain Adaptation Data Augmentation Domain Adaptation+2

CoSMix: Compositional Semantic Mix for Domain Adaptation in 3D LiDAR Segmentation

2022-07-20 · Cristiano Saltori, Fabio Galasso, Giuseppe Fiameni, Nicu Sebe 외

3D LiDAR semantic segmentation is fundamental for autonomous driving. Several Unsupervised Domain Adaptation (UDA) methods for point cloud data have been recently proposed to improve model generalization for different se…

3D Unsupervised Domain Adaptation Autonomous Driving Domain Adaptation LIDAR Semantic Segmentation+4

Transfer Learning from Synthetic to Real LiDAR Point Cloud for Semantic Segmentation

2021-07-12 · Aoran Xiao, Jiaxing Huang, Dayan Guan, Fangneng Zhan 외

Knowledge transfer from synthetic to real data has been widely studied to mitigate data annotation constraints in various computer vision tasks such as semantic segmentation. However, the study focused on 2D images and i…

3D Unsupervised Domain Adaptation Data Augmentation Domain Adaptation Semantic Segmentation+5