Results 11 to 20 of about 7,018 (281)
Deep FusionNet for Point Cloud Semantic Segmentation [PDF]
, 2020 Many point cloud segmentation methods rely on transferring irregular points into a voxel-based regular representation. Although voxel-based convolutions are useful for feature aggregation, they produce ambiguous or wrong predictions if a voxel contains points from different classes.
Zhang, F, Fang, J, Wah, B, Torr, PHS
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4D point cloud semantic segmentation [PDF]
, 2023 3D point cloud semantic segmentation is a fundamental scene understanding task. Typical 3D point cloud semantic segmentation approaches analyze the 3D information of LiDAR point clouds and predict the classes of every point in the point cloud scenes ...
Shi, Hanyu
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A BENCHMARK FOR LARGE-SCALE HERITAGE POINT CLOUD SEMANTIC SEGMENTATION [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 Abstract. The lack of benchmarking data for the semantic segmentation of digital heritage scenarios is hampering the development of automatic classification solutions in this field. Heritage 3D data feature complex structures and uncommon classes that prevent the simple deployment of available methods developed in other fields and for other types of ...
F. Matrone +9 more
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PointAF: A Novel Semantic Segmentation Network for Point Cloud [PDF]
, 2023 Point cloud semantic segmentation is a crucial problem in computer vision, which aims to assign semantic labels to each point in a point cloud. However, the sparsity and irregularity of point cloud data pose significant challenges to achieving accurate ...
Tianze Chen +4 more
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Asymmetric Network Based on Feedback and Transformer for Multispectral LiDAR Point Cloud Semantic Segmentation [PDF]
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingThe 3-D point cloud semantic segmentation extends the development of computer vision. Accurate point cloud semantic segmentation is a fundamental problem in point cloud applications.
Zhiwen Zhang +3 more
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Semantic segmentation of point cloud data using raw laser scanner measurements and deep neural networks [PDF]
ISPRS Open Journal of Photogrammetry and Remote Sensing, 2022 Deep learning methods based on convolutional neural networks have shown to give excellent results in semantic segmentation of images, but the inherent irregularity of point cloud data complicates their usage in semantically segmenting 3D laser scanning ...
Risto Kaijaluoto +4 more
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Fine-Grained Metrics for Point Cloud Semantic Segmentation [PDF]
Two forms of imbalances are commonly observed in point cloud semantic segmentation datasets: (1) category imbalances, where certain objects are more prevalent than others; and (2) size imbalances, where certain objects occupy more points than others. Because of this, the majority of categories and large objects are favored in the existing evaluation ...
Zhuheng Lu +4 more
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Evaluating the Quality of Semantic Segmented 3D Point Clouds [PDF]
Remote Sensing, 2022 Recently, 3D point clouds have become a quasi-standard for digitization. Point cloud processing remains a challenge due to the complex and unstructured nature of point clouds.
Eike Barnefske, Harald Sternberg
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CPCM: Contextual Point Cloud Modeling for Weakly-supervised Point Cloud Semantic Segmentation [PDF]
2023 IEEE/CVF International Conference on Computer Vision (ICCV), 2023 Accepted by ICCV ...
Lizhao Liu +7 more
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Refining Segmentation On-the-Fly: An Interactive Framework for Point Cloud Semantic Segmentation [PDF]
CoRRExisting interactive point cloud segmentation approaches primarily focus on the object segmentation, which aim to determine which points belong to the object of interest guided by user interactions. This paper concentrates on an unexplored yet meaningful task, i.e., interactive point cloud semantic segmentation, which assigns high-quality semantic ...
Peng Zhang +4 more
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