Researchers at Osaka Metropolitan University have developed SORA-DET, a lightweight and high-performance deep learning model for UAV-based remote ...
A research team led by Prof. Chu Yannan at the Hefei Institutes of Physical Science, Chinese Academy of Sciences, has ...
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 ...