2023
DOI: 10.1049/ipr2.12957
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Textile defect detection based on multi‐proportion spatial attention mechanism and channel memory feature fusion network

Yaxin Ji,
Lan Di

Abstract: This paper presents a textile defect detection method that utilizes a multi‐proportion spatial attention mechanism and channel memory feature fusion network by addressing the difficulties presented by complicated shapes and large size variations. In particular, a multi‐proportion spatial attention mechanism (MPAM) is introduced, which employs multi‐proportion convolution to improve the backbone network's capacity to detect non‐uniform structural defects. Additionally, the generality and adaptability of the mod… Show more

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