Learning Domain Generalized Remote Sensing Image Segmentation by Multiscale Instance Disentanglement
Abstract: Remote sensing image segmentation is a fundamental task in Earth observation. Rapid development has been made in the past decade owing to the deep learning techniques. Most of the existing ...
Introduction: Weeds compete with crops for water, nutrients, and light, negatively impacting maize yield and quality. To enhance weed identification accuracy and meet the requirements of precision ...
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 ...
Abstract: Plane segmentation algorithms are widely used in robotics, serving key roles in scenarios such as indoor localization, scene understanding, and robotic manipulation. These applications ...
PartCATSeg is a novel framework to address the critical challenges of OVPS(Open-Vocabulary Part Segmentation) and significantly improve model performance by leveraging the cost volume.
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