PointNet++SAKS: A Point Cloud Model Based on KANs and Attention Mechanism for Objects Classification and Semantic Segmentation

PointNet++SAKS: A Point Cloud Model Based on KANs and Attention Mechanism for Objects Classification and Semantic Segmentation

Traditional point clouds models based on multilayer perceptrons (MLPs) lack inherent support for spatial data structures and fail to effectively process spatial relationships. To address this limitation, we propose PointNet++ SAKS, a deep learning network for point clouds processing. The network inc...

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Bibliographic Details
Main Authors: Xiaofeng Lu, Zhiwei Guan, Dangfeng Pang, Rupeng Dou, Xiaolong Zheng
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
PointNet++
deep learning
point clouds classification
attention mechanism
semantic segmentation
Online Access:https://ieeexplore.ieee.org/document/10879490/
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https://ieeexplore.ieee.org/document/10879490/

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