The WHU-Urban3D dataset is publicly accessible at https://whu3d.com/. Introduction The advancement of 3D data acquisition technologies has facilitated the development of available and affordable 3D sensors, such as 3D scanners, and RGB-D cameras (e.g., Kinect, RealSense, and Apple depth ...
WHU-Synthetic: A Synthetic Perception Dataset for 3D Multi-task Model Research We introduce WHU-Synthetic, a large-scale 3D synthetic perception dataset designed for multi-task learning, from the initial data augmentation, through scene understanding , to macro-level tasks. Collected in the same env...
(IEEE TITS 2024) WHU-Railway3D: A Diverse Dataset and Benchmark for Railway Point Cloud Semantic Segmentation - WHU-USI3DV/WHU-Railway3D
This paper also provides the performance of several representative baseline methods and outlines potential future works and challenges for fully exploiting this dataset. The WHU-Urban3D dataset is publicly accessible at https://whu3d.com/. 展开 关键词: Machine learning Point cloud Semantic instance ...
WHU-Urban3D: An urban scene LiDAR point cloud dataset for semantic instance segmentation ISPRS Journal of Photogrammetry and Remote Sensing Volume 209,March 2024, Pages 500-513 Purchase options CorporateFor R&D professionals working in corporate organizations. ...
This has resulted in a lack of systematic approaches and theoretical frameworks for 3D multi-task learning, with most efforts merely serving as auxiliary support to the primary task. In this paper, we introduce WHU-Synthetic, a largescale 3D synthetic perception dataset designed for multi-task ...
Open source dataset; multimodal fusion;remote sensing;optical images; SAR images;deep learning - Update README.md · AmberHen/WHU-OPT-SAR-dataset@fba92be
WHU-Synthetic: A Synthetic Perception Dataset for 3D Multi-task Model Research We introduce WHU-Synthetic, a large-scale 3D synthetic perception dataset designed for multi-task learning, from the initial data augmentation, through scene understanding , to macro-level tasks. Collected in the same env...