Abstract: The effectiveness and robustness of medical image segmentation algorithms inextricably depends on the quality and quantity of training data. Insufficient data continually restricts model ...
Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...
Abstract: Model merging has become a popular approach for combining individual models into a single model that inherits their capabilities and achieves improved performance. However, its success has ...
LONDON, Dec 18 (Reuters) - Zara has become the latest fast-fashion retailer to use AI to help create new images of real models in different outfits, speeding up the production process as part of an ...
AS-Lab/Marthi-et-al-2025-MedVisionLlama-Pre-Trained-LLM-Layers-to-Enhance-Medical-Image-Segmentation
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, ...
It's not news to anyone that there are concerns about AI’s rising energy bill. But a new analysis shows the latest reasoning models are substantially more energy intensive than previous generations, ...
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