GlocalDualNet: Disentangling Scale and Representation for Few-Shot Remote Sensing Segmentation

The core task of semantic segmentation is to assign predefined category labels to each pixel in an image, thereby distinguishing between different objects and backgrounds. Few-shot semantic segmentation (FSS) is a specialized semantic segmentation task that aims to accurately segment pixel-level tar...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Hengren Tang, Yaxuan Jia, Jiacheng Cheng, Yang Mu, Yi Wu, Xiwen Yao
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	IEEE 2026-01-01
Sarja:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Aiheet:	Few-shot learning few-shot segmentation (FSS) meta-learning remote sensing semantic segmentation
Linkit:	https://ieeexplore.ieee.org/document/11391662/
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