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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.
The LPCVC 2025 winning solutions showcase surprisingly effective strategies for balancing accuracy and efficiency in edge-based computer vision, pushing the boundaries of what's possible on resource-constrained devices.