YOLO-SCC: A Lightweight Object Detection Method for Mine Safety
The results suggest that YOLO-SCC primarily improves false-positive suppression and localization quality in complex underground environments while maintaining a lightweight model scale.
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The results suggest that YOLO-SCC primarily improves false-positive suppression and localization quality in complex underground environments while maintaining a lightweight model scale.
Experiments on multiple datasets show high accuracy under strong noise, confirming the robustness and applicability of the proposed RSBU-MSCNN-based approach for industrial maintenance.
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