Learn the core practice of dividing a broad market into distinct subsets of consumers based on shared characteristics.

Pages Latest Report] According to a market research study published by Custom Market Insights, the demand analysis of Global ...

A research team presents XFruitSeg, a deep learning model designed to accurately segment three-dimensional computed tomography (CT) images of plant fruits.

George Orwell might’ve predicted the surveillance state, but it’s still surprising how many entities took 1984 as a how-to manual instead of a cautionary tale. [Benn Jordan] decided to ...

Abstract: With the rapid development of convolutional neural networks in image processing, deep learning has been widely applied to medical image segmentation tasks, including liver, retinal vessels, ...

iPETcertum™, recently cleared by the US FDA, will be distributed in Brazil by New Vida Medicamentos e Productos Ltda., a wholly owned subsidiary of Claritas NucMed Brazil, and an approved distributor ...

What is Intelligent Image Processing. Intelligent Image Processing is an important branch of computer vision, aimed at enabling computers to 'understand' images like humans do, by ...

Xipu, University of Liverpool Joint Publication!"Can't see clearly at night? A systematic review breaks through the low-light vision dilemma" ...

The latest Apple-made artificial intelligence model, FastVLM, is now available for users to try out, offering a significantly faster video-captioning AI that can describe what the camera captures on ...

The growing demand for unmanned vehicles, especially amid the current wave of AI upgrades, heavily relies on advanced image processing capabilities. For drones, various image processing technologies ...

This repository contains the code implementation for the paper RSRefSeg: Referring Remote Sensing Image Segmentation with Foundation Models, developed based on the MMSegmentation project. The current ...