Abstract: Polyp image segmentation, as one of the important components of medical image processing tasks, provides a powerful auxiliary role for clinical colonoscopy. However, it is very difficult to ...

Visual Attention Networks (VANs) leveraging Large Kernel Attention (LKA) have demonstrated remarkable performance in diverse computer vision tasks, often outperforming Vision Transformers (ViTs) in ...

🖼️ Parallel Image Convolution, applying a blur filter to images. Written in C, optimized in three different ways: MPI, MPI & OpenMP and CUDA.

I used the latest Qwen-imageEdit-0925 model file. I have an 8*L40s(40G video memory) machine. Since a single card cannot load 65G of the model and it needs to be ...

In this tutorial, we build an advanced AI agent using Semantic Kernel combined with Google’s Gemini free model, and we run it seamlessly on Google Colab. We start by wiring Semantic Kernel plugins as ...

Either way, let’s not be in denial about it. Credit...Illustration by Christoph Niemann Supported by By Kevin Roose and Casey Newton Kevin Roose and Casey Newton are the hosts of The Times’s “Hard ...

When ChatGPT exploded in popularity, so did AI text-to-image generators. Without a doubt, image generators are fascinating tools that can convert a simple text prompt into a realistic image, as seen ...

Here’s something fun. Our hacker [Willow Cunningham] has sent us a copy of their homework. This is their final project for the “ECE 574: Cluster Computing” course at the University of Maine, Orono. It ...

Google updated its Google image SEO best practices help document to recommend that you use the same image file name URL for the same image, even if you place that same image on different pages on your ...