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What is An Improved YOLOv8 Detector For Multi-Scale Target about?

This article presents the YOLO-GE algorithm, an improved YOLOv8 detector designed for multi-scale target detection in remote sensing images, addressing challenges related to dense small objects and complex backgrounds. The algorithm incorporates a novel ghost convolution hierarchical graph (G-HG) block and an enhanced attention mechanism (E-SimAM) to improve detection accuracy and robustness. Experimental results demonstrate significant performance improvements over existing state-of-the-art methods, partic

Author

alief akbar

Language

EN