Remote sensing object detection is a rapidly growing field in artificial intelligence, playing a critical role in advancing ...
Abstract: The few-shot object detection (FSOD) in remote sensing (RS) faces a fundamental challenge in balancing contextual feature learning with the representation stability. Current approaches ...
Abstract: This paper proposes YOLO-CBS, a lightweight object detection model enhanced through dual-path optimization for feature representation and cross-layer fusion efficiency. Firstly, the CBS ...
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