Abstract: Accurate image reconstruction is at the heart of diagnostics in medical imaging. Supervised deep learning-based approaches have been investigated for solving inverse problems including image ...

Microsoft Research has unveiled Fara-7B, a compact 7-billion parameter AI model designed to run “computer use” agents directly on local devices. By processing screen pixels entirely on-device, the new ...

Abstract: Convolutional neural networks (CNNs) have recently gained significant attention in image classification due to their exceptional performance in computer vision. Building on this success, ...

Zero-Shot Composed Image Retrieval (ZS-CIR) has attracted more attention in recent years, focusing on retrieving a specific image based on a query composed of a reference image and a relative text ...