Efficient Side-Tuning for Remote Sensing: A Low-Memory Fine-Tuning Framework

Fine-tuning pretrained models for remote sensing tasks often demands substantial computational resources. To reduce memory requirements and training costs, this article proposes a low-memory fine-tuning framework, called efficient side-tuning (EST), for remote sensing downstream tasks. EST attaches...

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Autors principals:	Haichen Yu, Wenxin Yin, Hanbo Bi, Chongyang Li, Yingchao Feng, Wenhui Diao, Xian Sun
Format:	Artigo
Idioma:	Inglês
Publicat:	IEEE 2025-01-01
Col·lecció:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Matèries:	Fine-tuning memory efficienct object detection remote sensing semantic segmentation
Accés en línia:	https://ieeexplore.ieee.org/document/10974700/
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