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Sun Yat-sen University
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With UniEvo-RS, minimal interaction on a few exemplars can lead to significant accuracy improvements in remote sensing segmentation, even for unseen categories.
Fair policies in multi-objective reinforcement learning can be dynamically adapted to user preferences, ensuring both optimality and equity across diverse scenarios.
