Abstract: The road segmentation task is to extract the road surface from the image at pixel level. In road segmentation for remote sensing images, deep learning-based methods have shown high-quality ...

Abstract: One-shot medical image segmentation (MIS) aims to cope with the expensive, time-consuming, and inherent human bias annotations. One prevalent method to address one-shot MIS is joint ...

This repo is used for recording, tracking, and benchmarking several recent transformer-based visual segmentation methods, as a supplement to our survey. If you find any work missing or have any ...

A powerful extension of the Large Multi-modal Model for generic (panoptic, instance, semantic) segmentation, referring segmentation and interactivate segmentation. Support joint training across ...

Key opportunities in the AI in pathology market include the rising demand for precision medicine, telepathology adoption, and digital transformation. Additionally, industry partnerships and AI ...

NLP and LLM teams often grow their training corpuses to improve model performance but they still do not always obtain ...

A feature profile on a network and cybersecurity engineer whose work connects secure architecture, operational continuit ...

Overview: AI marketing software helps startups automate content, CRM, SEO, design, and customer engagement, enabling lean teams to compete without expanding hea ...

AI's ...

An agentic AI power user explains how he’s using the technology to ramp up his productivity——and the surprising challenges of ...

AI in Life Science Market to Hit USD 69.34 Billion by 2031 with 26.3% CAGRThe AI in life science market is set to soar, projected to reach USD 69.34 billion by 2031 from USD 21.58 billion in 2026 at a ...