Multi-space and detail-supplemented attention network for point cloud completion
Author:
Funder
National Natural Science Foundation of China
Natural Science Foundation of Zhejiang Province
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-022-04219-3.pdf
Reference35 articles.
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3. Li W, Wang FD, Xia GS (2020) A geometry-attentional network for ALS point cloud classification. ISPRS J Photogramm Remote Sensing 164:26–40
4. Zhang M, You H, KP LS, Kuo CCJ (2020) Pointhop: an explainable machine learning method for point cloud classification. IEEE Trans Multimedia 22(7):1744–1755
5. Lin Y, Vosselman G, Cao Y, Yang MY (2020) Active and incremental learning for semantic ALS point cloud segmentation. ISPRS J Photogramm Remote Sens 169:73–92
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