Attention Prompt-Driven Source-Free Adaptation for Remote Sensing Images Semantic Segmentation

Recently, remote sensing images (RSIs) domain adaptation segmentation has been extensively studied. However, existing methods generally assume that source RSIs must be available, which is obviously an overly demanding condition and will increase unnecessary costs in practice. To this end, this lette...

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Veröffentlicht in:	IEEE geoscience and remote sensing letters 2024, Vol.21, p.1-5
Hauptverfasser:	Gao, Kuiliang, You, Xiong, Li, Ke, Chen, Lingyu, Lei, Juan, Zuo, Xibing
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptation Adaptation models Foundation models Image processing Image segmentation Knowledge representation Learning prompt learning Prototypes Remote sensing remote sensing images (RSIs) Semantic segmentation source-free adaptation Task analysis Training Transformers Tuning
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