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Hierarchical supervision from RGB models can significantly boost depth estimation accuracy in thermal imaging, even in adverse conditions.
RIFT achieves 98.8% success in action generation while slashing deployment latency by up to 89.1%, challenging the necessity of iterative video rollouts.