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Experiments show that CAS-YOLO improves detection accuracy within a YOLOv10n-based lightweight framework, and this study is strictly limited to civilian applications in public safety, traffic management, and autonomous driving assistance.
This work proposes MSGAN, a multi-scale global-local collaborative learning framework that integrates multi-scale mixed convolution and adaptive global-local attention to enhance feature representation and advances robust SOD for complex real-world scenarios and provides insights into attention-guided visual perception...
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