AI RESEARCH
Dual-Strategy Improvement of YOLOv11n for Multi-Scale Object Detection in Remote Sensing Images
arXiv CS.CV
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ArXi:2603.13879v1 Announce Type: new Satellite remote sensing images pose significant challenges for object detection due to their high resolution, complex scenes, and large variations in target scales. To address the insufficient detection accuracy of the YOLOv11n model in remote sensing imagery, this paper proposes two improvement strategies. Method 1: (a) a Large Separable Kernel Attention (LSKA) mechanism is