A resource-efficient training framework for remote sensing text–image retrieval

W Zhang

doi:10.1016/j.jag.2026.105174

2026-02-24

DOI：10.1016/j.jag.2026.105174

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摘要

En 中文

• 我们提出了一种训练高效的遥感文本-图像检索框架。 • Focus-Adapter 提高了 GPU 效率并捕捉小目标特征。 • 利用土地覆盖标签回收负样本提高了训练效能。 • 扩展的基准测试为检索任务提供了全面的比较。

Keyword:

Remote sensing text–image retrieval

Cross-modal retrieval

Resource efficiency

Transfer learning

AI总结

对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

期刊

International Journal of Applied Earth Observation and Geoinformation

IF:

8.6

论文数:

5.1K

被引数:

2.4W

机构

Chinese Academy of Sciences

学者数:

3.9W

论文数: 1.5W

被引数: 58.4W

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