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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence

Point2Node: Correlation Learning of Dynamic-Node for Point Cloud Feature Modeling

February 1, 2023

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Authors

Wenkai Han

Xiamen University


Chenglu Wen

Xiamen University


Cheng Wang

Xiamen University


Xin Li

Louisiana State University


Qing Li

Xiamen University


DOI:

10.1609/aaai.v34i07.6725


Abstract:

Fully exploring correlation among points in point clouds is essential for their feature modeling. This paper presents a novel end-to-end graph model, named Point2Node, to represent a given point cloud. Point2Node can dynamically explore correlation among all graph nodes from different levels, and adaptively aggregate the learned features. Specifically, first, to fully explore the spatial correlation among points for enhanced feature description, in a high-dimensional node graph, we dynamically integrate the node's correlation with self, local, and non-local nodes. Second, to more effectively integrate learned features, we design a data-aware gate mechanism to self-adaptively aggregate features at the channel level. Extensive experiments on various point cloud benchmarks demonstrate that our method outperforms the state-of-the-art.

Topics: AAAI

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HOW TO CITE:

Wenkai Han||Chenglu Wen||Cheng Wang||Xin Li||Qing Li Point2Node: Correlation Learning of Dynamic-Node for Point Cloud Feature Modeling Proceedings of the AAAI Conference on Artificial Intelligence (2020) 10925-10932.

Wenkai Han||Chenglu Wen||Cheng Wang||Xin Li||Qing Li Point2Node: Correlation Learning of Dynamic-Node for Point Cloud Feature Modeling AAAI 2020, 10925-10932.

Wenkai Han||Chenglu Wen||Cheng Wang||Xin Li||Qing Li (2020). Point2Node: Correlation Learning of Dynamic-Node for Point Cloud Feature Modeling. Proceedings of the AAAI Conference on Artificial Intelligence, 10925-10932.

Wenkai Han||Chenglu Wen||Cheng Wang||Xin Li||Qing Li. Point2Node: Correlation Learning of Dynamic-Node for Point Cloud Feature Modeling. Proceedings of the AAAI Conference on Artificial Intelligence 2020 p.10925-10932.

Wenkai Han||Chenglu Wen||Cheng Wang||Xin Li||Qing Li. 2020. Point2Node: Correlation Learning of Dynamic-Node for Point Cloud Feature Modeling. "Proceedings of the AAAI Conference on Artificial Intelligence". 10925-10932.

Wenkai Han||Chenglu Wen||Cheng Wang||Xin Li||Qing Li. (2020) "Point2Node: Correlation Learning of Dynamic-Node for Point Cloud Feature Modeling", Proceedings of the AAAI Conference on Artificial Intelligence, p.10925-10932

Wenkai Han||Chenglu Wen||Cheng Wang||Xin Li||Qing Li, "Point2Node: Correlation Learning of Dynamic-Node for Point Cloud Feature Modeling", AAAI, p.10925-10932, 2020.

Wenkai Han||Chenglu Wen||Cheng Wang||Xin Li||Qing Li. "Point2Node: Correlation Learning of Dynamic-Node for Point Cloud Feature Modeling". Proceedings of the AAAI Conference on Artificial Intelligence, 2020, p.10925-10932.

Wenkai Han||Chenglu Wen||Cheng Wang||Xin Li||Qing Li. "Point2Node: Correlation Learning of Dynamic-Node for Point Cloud Feature Modeling". Proceedings of the AAAI Conference on Artificial Intelligence, (2020): 10925-10932.

Wenkai Han||Chenglu Wen||Cheng Wang||Xin Li||Qing Li. Point2Node: Correlation Learning of Dynamic-Node for Point Cloud Feature Modeling. AAAI[Internet]. 2020[cited 2023]; 10925-10932.


ISSN: 2374-3468


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