Results 51 to 60 of about 7,018 (281)
SEMANTIC SEGMENTATION FOR BUILDING FAÇADE 3D POINT CLOUD FROM 2D ORTHOPHOTO IMAGES USING TRANSFER LEARNING [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2021 The task of semantic segmentation is an important one in the context of 3D building modelling. Indeed, developments in 3D generation techniques have rendered the point cloud ubiquitous.
A. Murtiyoso +4 more
doaj +1 more source
Transferring CLIP's Knowledge into Zero-Shot Point Cloud Semantic Segmentation [PDF]
, 2023 Traditional 3D segmentation methods can only recognize a fixed range of classes that appear in the training set, which limits their application in real-world scenarios due to the lack of generalization ability.
Huang, Shaofei +7 more
core +1 more source
EXPLORING CROSS-CITY SEMANTIC SEGMENTATION OF ALS POINT CLOUDS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2021 Abstract. Deep learning models achieve excellent semantic segmentation results for airborne laser scanning (ALS) point clouds, if sufficient training data are provided. Increasing amounts of annotated data are becoming publicly available thanks to contributors from all over the world. However, models trained on a specific dataset typically exhibit poor
Y. Xie +5 more
openaire +6 more sources
Sparse point‐voxel aggregation network for efficient point cloud semantic segmentation
IET Computer Vision, 2022 Effective and efficient semantic segmentation of 3D point cloud data is important for many tasks. Many methods for point cloud semantic segmentation rely on computationally expensive sampling and grouping layers to process irregular points, while others ...
Zheng Fang, Binyu Xiong, Fei Liu
doaj +1 more source
Weakly Supervised Semantic Segmentation for Large-Scale Point Cloud [PDF]
, 2021 Existing methods for large-scale point cloud semantic segmentation require expensive, tedious and error-prone manual point-wise annotations. Intuitively, weakly supervised training is a direct solution to reduce the cost of labeling.
Zhang, Yachao +5 more
core +2 more sources
SemAffiNet: Semantic-Affine Transformation for Point Cloud Segmentation
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022 Accepted to CVPR ...
Ziyi Wang 0007 +4 more
openaire +2 more sources
Automatic Point Cloud Semantic Segmentation of Complex Railway Environments [PDF]
Remote Sensing, 2021 The growing development of data digitalisation methods has increased their demand and applications in the transportation infrastructure field. Currently, mobile mapping systems (MMSs) are one of the most popular technologies for the acquisition of infrastructure data, with three-dimensional (3D) point clouds as their main product.
Daniel Lamas +3 more
openaire +3 more sources
3D Point Cloud Semantic Segmentation System Based on Lightweight FPConv [PDF]
, 2023 In this paper, we proposed a 3D point cloud semantic segmentation system based on lightweight FPConv. In 3D point cloud mapping, data is depicted in a 3D space to represent 3D imagery data. These maps are collected through direct measurements; all points
Yu-Cheng Fan +4 more
core +1 more source
Remote Sensing, 2022 Accurate semantic segmentation results of the overhead catenary system (OCS) are significant for OCS component extraction and geometric parameter detection.
Tao Xu +5 more
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Remote Sensing, 2022 Semantic segmentation in LiDAR point clouds has become an important research topic for autonomous driving systems. This paper proposes a dynamic graph convolution neural network for LiDAR point cloud semantic segmentation using a polar bird’s-eye view ...
Wei Song +5 more
doaj +1 more source