AI RESEARCH
AVION: Aerial Vision-Language Instruction from Offline Teacher to Prompt-Tuned Network
arXiv CS.CV
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ArXi:2603.12659v1 Announce Type: new Adapting vision-language models to remote sensing imagery remains challenging due to two key factors: limited semantic coverage in textual representations and insufficient adaptability of visual features. These issues are particularly significant in aerial scenes, which involve various visual appearances and fine-grained object distinctions. We propose AVION, a knowledge distillation framework tailored for remote sensing adaptation of vision-language models.