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Lehigh University
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Even state-of-the-art Video-LLMs fail to generalize to dynamic aerial environments once evaluation moves beyond repetitive question templates and static satellite imagery.
Domain shifts can cripple RMOT performance, revealing that the real challenge lies in maintaining stable associations between language and visual tracking rather than just detecting objects.