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FUSE achieves a remarkable 9.1% improvement in mAP by leveraging mid and high-frequency features, challenging the conventional focus on low-frequency cues in multi-modal ReID.
By dynamically weighting RL updates based on the credibility of state estimates, this approach enables safer and more reliable autonomous navigation for USVs in uncertain environments.
