DS-MAE: Dual-Siamese masked autoencoders for point cloud analysis
Masked autoencoders (MAEs) have emerged as a powerful self-supervised approach for point cloud analysis. Nevertheless, existing methods often separately focus on global structures or multi-scale features, ignoring their complementary potential. In this paper, we propose a novel dual-Siamese masked a...
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| Autori principali: | , , , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Tsinghua University Press
2025-08-01
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| Serie: | Computational Visual Media |
| Soggetti: | |
| Accesso online: | https://www.sciopen.com/article/10.26599/CVM.2025.9450487 |
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