Abstract: Image segmentation is a fundamental and critical task in computer vision, with applications across various domains, such as medical imaging, autonomous driving, and satellite image analysis.

This repository contains the official implementation of "MedVisionLlama: Leveraging Pre-Trained Large Language Model Layers to Enhance Medical Image Segmentation" by Gurucharan Marthi Krishna Kumar, ...

State officials promise large-scale involuntary addiction and mental health treatment at Salt Lake City’s edge. Critics see “a prison, or a warehouse.” State officials promise large-scale involuntary ...

Computer vision continues to be one of the most dynamic and impactful fields in artificial intelligence. Thanks to breakthroughs in deep learning, architecture design and data efficiency, machines are ...

Computer vision has emerged as one of the most transformative areas of artificial intelligence, with deep learning models driving unprecedented advancements in both theoretical understanding and ...

Abstract: Maritime scene understanding is an important task for a variety of industries, yet data collection and annotation for the field are relatively underrepresented and expensive. As a result, ...

Computer vision and image synthesis based on deep learning models, such as YOLO, U-Net, and Transformer, are advancing rapidly. These technologies are significantly impacting the field of neurology.