Infographics rendered without a single spelling error. Complex diagrams one-shotted from paragraph prompts. Logos restored from fragments. And visual outputs so sharp ...

For startups and established businesses, understanding the importance of segmentation is essential for the granular analysis of consumer demographics, behaviors, needs, and preferences. These insights ...

Abstract: Domain Adaptation (DA) is important for a segmentation model to deal with domain shift in a new target domain. Due to the privacy concern of medical data and the expensive annotation process ...

This repository contains my implementation of the Hybrid Input-Output (HIO) algorithm for phase retrieval — recovering phase information from Fourier magnitude data, a key problem in computational ...

Reverse image searching is a quick and easy way to trace the origin of an image, identify objects or landmarks, find higher-resolution alternatives or check if a photo has been altered or used ...

This repository provides an end-to-end pipeline for medical image segmentation using deep learning. Implemented in Python with TensorFlow, OpenCV, and other popular libraries, this project includes ...

U-Net and its variants have been widely used in the field of image segmentation. In this paper, a lightweight multi-scale Ghost U-Net (MSGU-Net) network architecture is proposed. This can efficiently ...

After its founding in 1976, scientists at Genentech worked methodically toward the development of its first biotechnology product. It was nearly a decade later that the FDA approved Protropin, a ...

ABSTRACT: Proximal gradient descent and its accelerated version are resultful methods for solving the sum of smooth and non-smooth problems. When the smooth function can be represented as a sum of ...