Abstract: The perception of night scenes is of crucial importance for driving safety. In the dimly lit night environment, as the visibility of objects decreases, both experienced and inexperienced ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

Abstract: The loss function and feature extraction framework are essential parts of the algorithm design and significantly affect the accuracy of oriented object detection in remote sensing images.

In the wake of Sunday’s attack on a Hanukkah celebration in Sydney, some non-Jews are placing menorahs in their windows as a visible show of support for their Jewish neighbors. “My family is not ...

This project implements a comprehensive Computer Vision MLOps pipeline for aerial object analysis, specifically designed to classify and detect birds vs drones in aerial imagery. The system combines: ...

After a streak of high-profile crossover announcements, from 'X-Files' to 'Power Rangers', here's everything that's currently in development for Lego's crowd-supported line of sets. Reading time 4 ...

The mystery object that struck a plane at 36,000 feet is likely not space debris, as some speculated, but rather a Silicon Valley test project gone wrong. On Oct. 16, United flight 1093 took off from ...

Facilitating earlier diagnosis and more precise treatment for patients with inflammatory diseases. This is the goal as the X-HiDE research project at örebro University in Sweden now enters its next ...

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 ...

The Patrick F. Taylor Foundation Object Project is a new interactive learning space opening on July 1. Here, we're highlighting five objects that will be on display—all of which have unique stories ...