PointUR-RL: Unified Self-Supervised Learning Method Based on Variable Masked Autoencoder for Point Cloud Reconstruction and Representation Learning

Self-supervised learning has made significant progress in point cloud processing. Currently, the primary tasks of self-supervised learning, which include point cloud reconstruction and representation learning, are trained separately due to their structural differences. This separation inevitably lea...

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Bibliografische Detailangaben

Hauptverfasser:	Kang Li, Qiuquan Zhu, Haoyu Wang, Shibo Wang, He Tian, Ping Zhou, Xin Cao
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2024-08-01
Schriftenreihe:	Remote Sensing
Schlagworte:	self-supervised learning point cloud reconstruction representation learning variable masked autoencoder contrastive learning
Online-Zugang:	https://www.mdpi.com/2072-4292/16/16/3045
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