DSAT: a dynamic sparse attention transformer for steel surface defect detection with hierarchical feature fusion
Abstract The rapid development of industrialization has led to a significant increase in the demand for steel, making the detection of surface defects in steel a critical challenge in industrial quality control. These defects exhibit diverse morphological characteristics and complex patterns, which...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-08-01
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| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-14935-8 |
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