Via a "reverse image search" on a computer or smartphone, you can find people, places and things that are in the picture. Watch this video to see how to do a reverse image search on Google.

They are called the segmentation bases and are simply used to label a group of customers who care about a different cluster of benefits. Second, along the left column you will also see segment ...

An automatic laryngoscopic image segmentation system based on SAM prompt engineering: from glottis annotation to vocal fold segmentation Yucong Zhang 1,2 † Yuchen Song 2 † Juan Liu 1,3* Ming Li 1,2* ...

Semantic segmentation of remote sensing images (RSIs) has significant advances with the adoption of deep neural networks, taking the advantages of convolutional neural networks (CNNs) in local feature ...

This repository is the official implementation of the paper RSRefSeg 2: Decoupling Referring Remote Sensing Image Segmentation with Foundation Models, developed based on the OpenMMLab codebase. The ...

In the field of Medical Image Segmentation, deep learning models, especially Convolutional Neural Networks (CNN) and Vision Transformer (ViT) models, have been widely researched and applied in recent ...

Seg-Wild: Interactive Segmentation based on 3D Gaussian Splatting for Unconstrained Image Collections (ACM MM 2025) We propose Seg-Wild, a novel interactive 3D segmentation framework tailored for ...

Bringing you the latest lens reviews, camera and phone reviews, sample photos plus industry news, ePHOTOzine is a site dedicated to photography, with galleries and photo competitions ...