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M2Heat is introduced, a physics-inspired framework that investigates multimodal fusion through the lens of heat conduction and indicates the potential of heat-conduction-guided neural operators for efficient and interpretable RS multimodal fusion.
Cross-modal focus misalignment in drone views can be mitigated, leading to a substantial boost in fine-grained image-text retrieval accuracy.
World models struggle with UAV videos because they lack training data with realistic, high-dynamic 6-DoF motion – until now.