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Pixel’s Neighbors Are Noteworthy: Localized Vision–Language Attention for Remote Sensing Semantic Segmentation

In recent years, vision–language models (VLMs) have been introduced into remote sensing semantic segmentation to provide richer semantic representations through visual–textual alignment. However, most existing VLM-based segmentation methods focus on global semantic alignment while neglecting pixel-l...

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Autori principali: Cheng Zeng, Sheng Tao, Xiaowei Tan, Zhifeng Xiao, Lei Hu
Natura: Artigo
Lingua:Inglês
Pubblicazione: MDPI AG 2026-05-01
Serie:Remote Sensing
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Accesso online:https://www.mdpi.com/2072-4292/18/11/1708
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