TriCI : Triple Cross-Intra Branch Contrastive Learning for Point Cloud Analysis

Whereas contrastive learning eliminates the need for labeled data, existing methods may suffer from inadequate features due to the conventional single shared encoder structure and struggle to fully harness the rich spectrum of 3D augmentations. In this paper, we propose TriCI, a self-supervised meth...

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Veröffentlicht in:	IEEE transactions on visualization and computer graphics. - 1996. - PP(2024) vom: 20. Aug.
1. Verfasser:	Shao, Di (VerfasserIn)
Weitere Verfasser:	Lu, Xuequan, Wang, Weijia, Liu, Xiao, Mian, Ajmal Saeed
Format:	Online-Aufsatz
Sprache:	English
Veröffentlicht:	2024
Zugriff auf das übergeordnete Werk:	IEEE transactions on visualization and computer graphics
Schlagworte:	Journal Article