Deep learning techniques have been successfully applied to object classification in Synthetic Aperture Radar (SAR) images, achieving remarkable performance. However, the current Transformer ...

US President Donald Trump has taken to Truth Social yet again to post a cryptic image of the White House west wing, without any context, after he ordered a ballroom renovation that sparked outrage. It ...

Contextual Image Attack (CIA) is a novel image-centric jailbreak method designed to exploit vulnerabilities in Multimodal Large Language Models (MLLMs). Unlike traditional attacks that focus on ...

This repository contains Python notebooks demonstrating image classification using Azure AutoML for Images. These notebooks provide practical examples of building computer vision models for various ...

The Tapenade pipeline enables single-cell, whole-mount 3D quantification in dense multilayer organoids, linking spatial gene co-expression and nuclear deformation to emerging tissue-scale organization ...

Abstract: This work proposes a multidisciplinary contextual information extraction and decision fusion approach for increasing the classification accuracy. It improves the image classification with ...

Abstract: In the framework of remote-sensing image classification, support vector machines (SVMs) have lately been receiving substantial attention due to their accurate results in many applications as ...

Black Forest Labs (BFL), the startup founded by the creators of the popular Stable Diffusion model, has launched a new image generation model called FLUX.1 Kontext. This model not only generates and ...