Unsupervised Dual Transformer Learning for 3-D Textured Surface Segmentation

Analysis of the 3-D texture is indispensable for various tasks, such as retrieval, segmentation, classification, and inspection of sculptures, knit fabrics, and biological tissues. A 3-D texture represents a locally repeated surface variation (SV) that is independent of the overall shape of the surf...

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Veröffentlicht in:	IEEE transaction on neural networks and learning systems 2024-03, Vol.PP, p.1-12
Hauptverfasser:	Ganapathi, Iyyakutti Iyappan, Dharejo, Fayaz Ali, Javed, Sajid, Ali, Syed Sadaf, Werghi, Naoufel
Format:	Artikel
Sprache:	eng
Schlagworte:	3-D surface segmentation texture transformers unsupervised
Online-Zugang:	Volltext
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