3 hasil untuk "Jibril Muhammad Adam"
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Artikel Jurnal Teks lengkap
Review: Deep Learning on 3D Point Clouds
A point cloud is a set of points defined in a 3D metric space. Point clouds have become one of the most significant data formats for 3D representation and are gaining increased popularity as a result of the increased availability of acquisition devices, as well as seeing increased application in…
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Artikel Jurnal
Deep learning-based semantic segmentation of urban-scale 3D meshes in remote sensing: A survey
Semantic segmentation in 3D meshes is the classification of its constituent element(s) into specific classes or categories. Using the powerful feature extraction abilities of deep neural networks (DNNs), significant results have been obtained in the semantic segmentation of various remotely sensed…
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Artikel Jurnal Teks lengkap
GeoSparseNet: A Multi-Source Geometry-Aware CNN for Urban Scene Analysis
The convolutional neural networks (CNNs) functioning on geometric learning for the urban large-scale 3D meshes are indispensable because of their substantial, complex, and deformed shape constitutions. To address this issue, we proposed a novel Geometry-Aware Multi-Source Sparse-Attention CNN…