IEEE

Harnessing Text Insights With Visual Alignment for Medical Image Segmentation

Abstract: Pre-trained vision-language models (VLMs) and language models (LMs) have recently garnered significant attention due to their remarkable ability to represent textual concepts, opening up new ...
IEEE

Med-VLM: Enhancing Medical Image Segmentation Accuracy Through Vision-Language Model

Abstract: We proposed Med-VLM (Medical Vision-language Model), an innovative approach that leverages textual descriptions of organs to enhance segmentation accuracy in medical images. Existing medical ...
eWeek

Enterprise Computer Vision at Scale: Dell’s Jason Nassar on Edge AI, Real-Time Inference, and AI Factory Infrastructure

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...
GitHub

ISBNet Building Instance Segmentation for Aerial Urban Point Clouds

This repository contains a lightweight, reproducible project for building-only instance segmentation on aerial urban point clouds. It was organized from a Sun Yat-sen University Computer Vision and ...