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...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on visualization and computer graphics. - 1996. - 31(2025), 9 vom: 20. Aug., Seite 5321-5333
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| 1. Verfasser: |
Shao, Di
(VerfasserIn) |
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| Weitere Verfasser: |
Lu, Xuequan,
Wang, Weijia,
Liu, Xiao,
Mian, Ajmal Saeed |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2025
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on visualization and computer graphics
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| Schlagworte: | Journal Article |
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