A crack detection model fusing local details and global context for nuclear cladding coating surfaces
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Researchers have developed various models for detecting cracks and defects in different surfaces, including nuclear cladding coating surfaces, roads, and vehicle components. These models often incorporate techniques such as feature fusion, context-aware fusion, and multi-scale feature refinement to improve detection accuracy. The specific details and applications of these models vary, with some focusing on real-time detection, noisy environments, or specific industries like mining or aerospace.
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