Dragonfly 3D World 2025, a major software upgrade that redefines how scientists and engineers explore, analyze, and quantify ...
Abstract: Semi-supervised learning methods based on the mean teacher model have achieved great success in the field of 3-D medical image segmentation. However, most of the existing methods provide ...
A collaborative effort by the Formosa-Jordan lab from the Max Planck Institute for Plant Breeding Research in Cologne, ...
Sen4x, developed by ADB, GeoVille, and ETH Zürich, combines single- and multi-image super-resolution to transform freely available Sentinel-2 imagery into sharper, 2.5-meter data suitable for real ...
Magic Eraser has announced a series of system-wide enhancements to its browser-based image editing platform, introducing new ...
Meta's new image segmentation models can identify objects and people and reconstruct them in 3D - SiliconANGLE ...
Abstract: Medical image segmentation plays a pivotal role in ensuring accurate diagnosis. Traditional methods are predominantly monomodal, relying solely on image data. These image-only methods ...
This repository contains the code implementation for the paper RSRefSeg: Referring Remote Sensing Image Segmentation with Foundation Models, developed based on the MMSegmentation project. The current ...
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