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A weld defect detection algorithm designed based on YOLOv9
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AI
DOI：10.1016/j.measurement.2025.118630.png)
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Abstract
En 中文
• The MSFF-AConv module is proposed to enhance feature extraction and robustness. • The SPPELAN-SKNet module captures diverse features, enhancing accuracy and efficiency. • The DualDDetect-CBAM module improves detection accuracy by enhancing features.
Keywords:
MSFF-AConv
SPPELAN-SKNet
DualDDetect-CBAM
feature extraction
object detection