For example, a Convolutional Neural Network (CNN) trained on thousands of radar echoes can recognize the unique spatial signature of a small metallic fragment, even when its signal is partially masked ...
Detecting concealed explosives and chemical threats constitutes a critical challenge in global security, yet current ...
Water leaves a memory in the land. Even after thousands of years, it lingers as faint ridges and subtle curves that only ...
Abstract: Salient object detection from optical remote sensing images seeks to detect and segment out objects that stand out visually by mimicking human interpretation. Accurately detecting salient ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Current cell sorting methods often lack versatility, require complex setups, demand ...
Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...
To address the issues of missed detection and false detection during the defect inspection process of the PCB, an improved YOLOv7-based algorithm for PCB defect detection is proposed. Firstly, the ...
Introduction: Accurate vehicle analysis from aerial imagery has become increasingly vital for emerging technologies and public service applications such as intelligent traffic management, urban ...
Abstract: Accurate and stable target detection is crucial for robotic grasping tasks under uneven lighting conditions. To address this, this paper proposes a target object detection network (YOLO-Net) ...
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