YOLOv9 to YOLOv11 exhibited an increasing trend in accuracy, but this was accompanied by a continuous rise in the number of parameters and computational requirements, which led to higher deployment costs.
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MCH-YOLOv12: Research on Surface Defect Detection Algorithm for Aluminum Profiles Based on Improved YOLOv12.
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