Abstract: Deep convolutional neural networks (CNNs) have demonstrated tremendous success in image super-resolution (SR). According to the frequency principle, the vanilla CNNs fit the target function ...

Extracting buildings from high-resolution remote sensing images is a task of significant importance that has been widely applied in numerous fields, including smart city development and planning, ...

Fine-scale exogenous attention within the foveola selectively enhances contrast gain at low-to-mid spatial frequencies while increasing response gain across a broad spatial frequency range.

Abstract: Transformer-based models have been widely and successfully used in various low-vision visual tasks, and have achieved remarkable performance in single image super-resolution (SR). Despite ...

What better way to celebrate the holiday weekend than with some epic discounts? Save big on essential tech like laptops, ...

Researchers at ETH Zurich have developed a method that uses a single ion to detect electromagnetic fields above a surface and ...

This is how to perfect your earbuds' sound.

The rotating detonation rocket engine (RDRE) examined in this study was constructed following the design guidelines of ...

The terrestrial water cycle is a fundamental component of Earth's climate system, governing the exchange of water between land surfaces and the atmosphere.

Trapped ion quantum computing noise hit a 30-year wall until ETH Zurich researchers built a Penning-trap scanner using a ...

Astronomers identify 613 dual pulse events in the solar corona, enhancing understanding of plasma activity and magnetic ...