Surprisingly, the training increased accuracy by similar amounts in super recognizers and typical recognizers, Gray said.

Imaging technology has transformed how we observe the universe—from mapping distant galaxies with radio telescope arrays to ...

Researchers at the ArQuS Laboratory of the University of Trieste (Italy) and the National Institute of Optics of the Italian ...

This project aims to demonstrate how to configure visible and infrared datasets to accommodate multimodal object detection tasks based on YOLOv11. With three different configuration methods (directory ...

Manhole cover defect recognition is of significant practical importance as it can accurately identify damaged or missing covers, enabling timely replacement and maintenance. Traditional manhole cover ...

Welcome to the Visium_SPG_AD project! This project involves several interactive websites, which are publicly accessible for you to browse and download. This project ...

Neural networks (NNs) are now being extensively utilized in various artificial intelligence platforms specifically in the area of image classification and real-time object tracking. We propose a novel ...

1 School of Information and Computer, Anhui Agricultural University, Hefei, China 2 School of Electrical Engineering and Automation, Wuhan University, Wuhan, China With the development of bionic ...