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 ...

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 ...

Small. With bf16/fp16 (supported by native pytorch), our baseline could be trained with only 2GB GPU memory. Friendly. You may use the off-the-shelf options to apply many state-of-the-art tricks in ...

PARIS, Feb 19 (Reuters) - U.S. Energy Secretary Chris Wright gave the International Energy Agency on Thursday a one-year deadline to scrap its support of goals to reduce energy emissions to net zero ...