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Aerial-R1: Reinforcing Aerial Reasoning and Segmentation in MLLMs

arXiv:2610.33056v1 Announce Type: new Abstract: While Multimodal Large Language Models (MLLMs) have revolutionized general visual perception, existing methods suffer from severe hallucination in the aerial domain, where extreme scale variations and visual ambiguity abound. Existing Supervised Fine-…

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  1. 2026-10-27 04:00 · arXiv cs.CV
    Aerial-R1: Reinforcing Aerial Reasoning and Segmentation in MLLMs

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