Medical image processing is now the most demanding and expanding field. It is widely used for brain tumor detection and segmentation at healthcare settings and research labs. In this research, we have ...

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 ...

Referring Image Segmentation (RIS) is a challenging task that aims to segment objects in an image based on natural language expressions. While prior works have predominantly concentrated on improving ...

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 ...

New AI model can “cut out” any object within an image—and Meta is sharing the code Meta's "Segment Anything" uses AI to isolate objects on command.