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Learning Polynomial-Based Separable Convolution for 3D Point Cloud Analysis

Shape classification and segmentation of point cloud data are two of the most demanding tasks in photogrammetry and remote sensing applications, which aim to recognize object categories or point labels. Point convolution is an essential operation when designing a network on point clouds for these ta...

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Bibliografski detalji
Glavni autori: Ruixuan Yu, Jian Sun
Format: Artigo
Jezik:Inglês
Izdano: MDPI AG 2021-06-01
Serija:Sensors
Teme:
Online pristup:https://www.mdpi.com/1424-8220/21/12/4211
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