For people, matching what they see on the ground to a map is second nature. For computers, it has been a major challenge. A Cornell research team has introduced a new method that helps machines make ...

Vision Transformers, or ViTs, are a groundbreaking learning model designed for tasks in computer vision, particularly image recognition. Unlike CNNs, which use convolutions for image processing, ViTs ...

Manzano combines visual understanding and text-to-image generation, while significantly reducing performance or quality trade-offs.

Researchers from the Optics Group at the Universitat Jaume I in Castellón have managed to correct in real time problems ...