Segmentation of ethnic clothing patterns with fusion of multiple attention mechanisms

Abstract To address the challenges posed by diverse pattern-background elements, intricate details, and complex textures in the semantic segmentation of ethnic clothing patterns, this research introduces a novel semantic segmentation network model called MST-Unet (Mixed Swin Transformer U-net). The...

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Bibliografiske detaljer

Principais autores:	Tao Ning, Yuan Gao, Yumeng Han
Format:	Artigo
Sprog:	Inglês
Udgivet:	Springer 2024-05-01
Serier:	Complex & Intelligent Systems
Fag:	Deep learning Ethnic clothing Feature extraction Attention mechanism Semantic segmentation
Online adgang:	https://doi.org/10.1007/s40747-024-01457-5
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