Detecting small objects in complex remote sensing environments presents significant challenges, including insufficient extraction of local spatial information, rigid feature fusion, and limited global ...
Object Detection (OD) has advanced significantly over recent decades due to deep convolutional neural networks, with models like YOLO 1 and Faster R-CNN 2 leading the way. However, their performance ...
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