FD-YOLO11: A Feature-Enhanced Deep Learning Model for Steel Surface Defect Detection
Steel surface defect detection plays a critical quality control role in industrial manufacturing. However, the existing methods struggle to balance accuracy and efficiency, especially in complex defect environments, where significant challenges persist. To address this challenge, FD-YOLO11, which is...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10962163/ |
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