Remote sensing object detection is a rapidly growing field in artificial intelligence, playing a critical role in advancing ...

As schools nationwide grapple with the best ways to keep students and staff safe from gun violence, a Gloucester County ...

Researchers at Osaka Metropolitan University have developed SORA-DET, a lightweight and high-performance deep learning model ...

The U.N. General Assembly’s yearly meeting of world leaders is here. And with it comes an array of acronyms, abbreviations, ...

Why are we asking for donations? Why are we asking for donations? This site is free thanks to our community of supporters. Voluntary donations from readers like you keep our news accessible for ...

Abstract: Open-world object detection (OWOD) extends object detection problem to a realistic and dynamic scenario, where a detection model is required to be capable of detecting both known and unknown ...

A team of astronomers using the Australian Square Kilometre Array Pathfinder (ASKAP) radio telescope have detected a mysterious, almost perfectly spherical object in deep space. Named Teleios, Greek ...

I am training a model using YOLOv5 or YOLOv8 to detect soccer balls and players in a soccer stadium. However, I am unsure how to label players when they overlap. For example, if the player in front is ...

In recent years, underwater object detection (UOD) has become a prominent research area in the computer vision community. However, existing UOD approaches are still vulnerable to underwater ...

Astronomers have made a groundbreaking discovery by detecting methane in the atmosphere of WISEA J181006.18−101000.5, the closest T dwarf to Earth, located just 29 light years away. This exciting ...

Abstract: In adverse environments, the detector often fails to detect degraded objects because they are almost invisible and their features are weakened by the environment. Common approaches involve ...