A Multitask Feature Fusion Network for Woven Fabric Density Analysis

A Multitask Feature Fusion Network for Woven Fabric Density Analysis

The density analysis of woven fabrics is a critical part of quality control in textile production. Traditional image-processing-based methods for density analysis of woven fabrics require complicated manual feature design and lack adaptability to different weaving patterns. To address these problems...

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Bibliographic Details
Main Authors: Meifei Ding, Liming Pan, Mingmin Chi
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Multitask learning
small object detection
woven fabric density
Online Access:https://ieeexplore.ieee.org/document/10452325/

Internet

https://ieeexplore.ieee.org/document/10452325/

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