A unified approach for weakly supervised crack detection via affine transformation and pseudo label refinement
Abstract Consistent detection of cracks in engineering structures is essential for maintaining structural integrity. Deep neural networks perform well in this discipline, although their pixel-level labeling reliance increases labeling costs. Thus, weakly supervised learning methods have emerged. How...
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| Main Authors: | Zhongmin Huangfu, Yibo Jiao, Fupeng Wei, Ge Shi, Hangcheng Dong |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-03-01
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| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-93196-x |
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