Abstract: Existing surface defect semantic segmentation methods are limited by costly annotated data and are unable to cope with new or rare defect types. Zero-shot learning offers a new possibility ...
AZoRobotics on MSN
AI-powered robot learns when tomato harvesting will succeed
Researchers developed a data-driven framework for autonomous tomato harvesting, improving success rates through YOLOv8-based ...
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, ...
Abstract: Cataract surgery, a widely performed operation worldwide, is incorporating semantic segmentation to advance computer-assisted intervention. However, the tissue appearance and illumination in ...
AI has transformed how we interact with technology, moving from traditional graphical interfaces to language-based, collaborative systems. To measure these new human-AI interactions, we developed ...
Contrastive vision-language models such as CLIP have shown remarkable performance in aligning images and text within a shared embedding space. However, they typically treat text as flat token ...
Age-related macular degeneration (AMD) is a leading cause of vision loss for people 50 and older. Angle-closure glaucoma is a medical emergency that can cause sudden blurry vision in one eye.
Crafting clear mission and vision statements is critical to shaping company identity, motivating employees and guiding decision-making. A mission statement defines the current scope and purpose of the ...
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