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Abstract: Contemporary deep learning approaches for optical flow estimation continue to face persistent challenges in model interpretability, generalization capacity, and deployment efficiency, ...

Abstract: Mobile Edge Computing (MEC) distributes resources such as computing, storage, and bandwidth to the side close to users, which can provide low-latency services to in-vehicle users, thus ...

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Google Flow provides a structured way to manage workflows through natural language commands. It includes both ready-made configurations and customizable options that do not require coding expertise.

UFM (Unified Flow & Matching, UniFlowMatch) is a simple, end-to-end trained transformer model that directly regresses pixel displacement images (flow) and can be applied concurrently to both optical ...