Enhanced YOLOv5s for PCB Defect Detection with Coordinate Attention and Internal Convolution
Printed Circuit Board (PCB) defect detection is crucial for ensuring the quality and reliability of electronic devices. The study proposes an enhanced YOLOv5s model for PCB defect detection, which combines Coordinate Attention (CA), Convolutional Block Attention Module (CBAM), and Inception-style co...
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| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
University of Zagreb Faculty of Electrical Engineering and Computing
2024-01-01
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| Serija: | Journal of Computing and Information Technology |
| Teme: | |
| Online dostop: | https://hrcak.srce.hr/file/471979 |
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