DeFRCN-MAM: DeFRCN and multi-scale attention mechanism-based industrial defect detection method
With the technology development, industrial defect detection based on deep learning has attracted extensive attention in the academic community. Different from general visual objects, industrial defects have the characteristics of small sample, weak visibility and irregular shape, which hinder the a...
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| Asıl Yazarlar: | , , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Taylor & Francis Group
2024-12-01
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| Seri Bilgileri: | Applied Artificial Intelligence |
| Online Erişim: | https://www.tandfonline.com/doi/10.1080/08839514.2024.2349981 |
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