Artificial intelligence is increasingly being used to see and understand the world around us. From facial recognition on ...

Vision transformers have garnered substantial attention and attained impressive performance in image super-resolution tasks. Nevertheless, these networks face challenges associated with attention ...

Propose a novel and effective image super-resolution method that overcomes the shortcomings of existing methods and improves image super-resolution quality. Multi-level feature fusion adopts the ...

An autonomous vehicle must rapidly and accurately recognize objects that it encounters, from an idling delivery truck parked at the corner to a cyclist whizzing toward an approaching intersection. To ...

Digital images begin with a fixed number of pixels in a two-dimensional grid. AI super resolution uses machine learning (ML) algorithms to infer from an original image ways that more pixels may be ...