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Video segmenters suffer from persistent identity drift because they blindly write noisy observations to memory; gating state transitions through propose-verify graph reasoning preserves object history through extended occlusions without altering the underlying base model.
Anticipatory risk-guided reinforcement learning enables quadrotors to navigate complex environments with unprecedented safety and efficiency, even in real-world scenarios.
