You don't need the newest GPUs to save money on AI; simple tweaks like "smoke tests" and fixing data bottlenecks can slash ...

Abstract: Image segmentation has demonstrated immense potential in computer vision. In particular, the U-Net architecture, built on fully convolutional networks, is highly suitable for image ...

Learn how to simulate proton motion in a constant magnetic field using Python! This tutorial walks you through the physics behind charged particle motion, step-by-step coding, and visualization ...

Abstract: This paper introduces an enhanced U-Net network designed to extract fine crack features against complex backgrounds and balance crack pixel categories for bridge crack segmentation.

This project implements a complete deep learning pipeline for counting cells in microscopy images using semantic segmentation. Given fluorescence microscopy images, the model predicts a binary ...