FabricSpotDefect: An annotated dataset for identifying spot defects in different fabric types.

Autor: Islam F; Center for Computational & Data Sciences, Independent University, Bangladesh, Block B, Bashundhara R/A, Dhaka 1229, Bangladesh.; Department of Computer Science and Engineering, Independent University, Bangladesh, Block B, Bashundhara R/A, Dhaka 1229, Bangladesh., Sumaya; Center for Computational & Data Sciences, Independent University, Bangladesh, Block B, Bashundhara R/A, Dhaka 1229, Bangladesh.; Department of Computer Science and Engineering, Independent University, Bangladesh, Block B, Bashundhara R/A, Dhaka 1229, Bangladesh., Monir MF; Center for Computational & Data Sciences, Independent University, Bangladesh, Block B, Bashundhara R/A, Dhaka 1229, Bangladesh.; Department of Computer Science and Engineering, Independent University, Bangladesh, Block B, Bashundhara R/A, Dhaka 1229, Bangladesh., Islam A; Center for Computational & Data Sciences, Independent University, Bangladesh, Block B, Bashundhara R/A, Dhaka 1229, Bangladesh.; Department of Computer Science and Engineering, Independent University, Bangladesh, Block B, Bashundhara R/A, Dhaka 1229, Bangladesh.

Publikováno v: Data in brief [Data Brief] 2024 Nov 24; Vol. 57, pp. 111165. Date of Electronic Publication: 2024 Nov 24 (Print Publication: 2024).

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Supervised Video Cloth Simulation: Exploring Softness and Stiffness Variations on Fabric Types Using Deep Learning

Autor: Makara Mao, Hongly Va, Ahyoung Lee, Min Hong

Publikováno v: Applied Sciences, Vol 13, Iss 17, p 9505 (2023)

Physically based cloth simulation requires a model that represents cloth as a collection of nodes connected by different types of constraints. In this paper, we present a coefficient prediction framework using a Deep Learning (DL) technique to enhanc

Externí odkaz: https://doaj.org/article/97933bd6809c47ea92f57482afb53d67

An Antigraying Technology to Sustain Whiteness on Multiple Fabric Types and Different Stain Types.

Autor: Fischer, Sonja¹, Beziau, Antoine¹, Patwardhan-Huber, Darshan¹ darshan.patwardhan@basf.com, Nielsen, Jesper Duus¹

Publikováno v: SOFW Journal (English version). Oct2022, Vol. 148 Issue 10, p2-6. 3p.