Abstract: Few-shot domain-adaptive object detection (FSDAOD) aims to transfer knowledge from a source domain to a target domain with limited labeled data, which faces severe challenges in the field of ...

Far from the bright glare of the Moon, a much smaller companion has been quietly keeping pace with Earth, looping around the ...

So far, humanity has yet to find its first "exomoon"—a moon orbiting a planet outside of the solar system. But that hasn't ...

Universe Today reports on a new telescope proposal that could help astronomers detect Earth-sized exomoons, explaining current limits, future technology, and why moons around distant planets matter ...

Counterfeit or low-quality products—such as olive oil made from dyed rapeseed oil—are often difficult or impossible to ...

Physicists at the Cubic Kilometre Neutrino Telescope Initiative, KM3NeT, built a cathedral of glass spheres that listens for ...

Utilize AI to analyze application runtime data (e.g., rendering time, communication latency), obtain optimization suggestions (such as reducing component re-rendering, reusing hardware connections), ...

We have attempted to develop a Fracture Line Detection System using MATLAB and its Image Processing Toolbox. The system aims to assist radiologists by processing X-ray images to automatically ...

Abstract: YOLOv10, known for its efficiency in object detection methods, quickly and accurately detects objects in images. However, when detecting small objects in remote sensing imagery, traditional ...

AUSTIN, Texas — Driving through Austin may soon get a little easier. On Thursday, the Austin City Council could greenlight a nearly $11 million plan to improve vehicle detection at traffic signals, ...