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The Active Cross-View Object Geo-Localization (ActiveGeo), where an agent sequentially selects new viewpoints and determines when to stop, aiming to improve localization with minimal observations is introduced, and an ActiveGeo framework with three-stage training is proposed.
It is suggested that time-series forecasting is gradually evolving from task-specific prediction models toward intelligent forecasting ecosystems capable of learning, reasoning, and autonomous decision-making.
