A new weakly supervised approach for ALS point cloud semantic segmentation

Although novel point cloud semantic segmentation schemes that continuously surpass state-of-the-art results exist, the success of learning an effective model typically relies on the availability of abundant labeled data. However, data annotation is a time-consumng and labor-intensive task, particula...

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Vydané v:	ISPRS journal of photogrammetry and remote sensing Ročník 188; s. 237 - 254
Hlavní autori:	Wang, Puzuo, Yao, Wei
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.06.2022
Predmet:	Consistency constraint data collection entropy Entropy regularization photogrammetry Point cloud semantic segmentation probability Pseudo-label Weakly supervised learning Point cloud semantic segmentation Consistency constraint Weakly supervised learning Pseudo-label Entropy regularization
ISSN:	0924-2716, 1872-8235
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