Abstract: Open-vocabulary semantic segmentation (OVSS) in remote sensing aims to recognize arbitrary object categories from satellite imageries beyond a fixed label set, but its progress is ...
Qwen-Image doesn't just create or edit, it understands. It supports a suite of image understanding tasks, including object detection, semantic segmentation, depth and edge (Canny) estimation, novel ...
Abstract: Deep learning models for medical image segmentation often struggle with task-specific characteristics, limiting their generalization to unseen tasks with new anatomies, labels, or modalities ...
Introduction: Laryngeal high-speed video (HSV) is a widely used technique for diagnosing laryngeal diseases. Among various analytical approaches, segmentation of glottis regions has proven effective ...
This repository is the official implementation of the paper RSRefSeg 2: Decoupling Referring Remote Sensing Image Segmentation with Foundation Models, developed based on the OpenMMLab codebase. The ...
Department of Earth Sciences, Royal Holloway University of London, Egham, United Kingdom We report the results of pore-network analysis of high resolution synchrotron microtomographic images of ...
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