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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Détails bibliographiques
| Publié dans: | IEEE transactions on visualization and computer graphics. - 1996. - 31(2025), 9 vom: 20. Aug., Seite 5321-5333
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| Auteur principal: |
Shao, Di
(Auteur) |
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| Autres auteurs: |
Lu, Xuequan,
Wang, Weijia,
Liu, Xiao,
Mian, Ajmal Saeed |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2025
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| Accès à la collection: | IEEE transactions on visualization and computer graphics
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| Sujets: | Journal Article |
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