Weighing Counts: Sequential Crowd Counting by Reinforcement Learning

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    Abstract:

    We formulate counting as a sequential decision problem and present a novel crowd counting model solvable by deep reinforcement learning. In contrast to existing counting models that directly output count values, we divide one-step estimation into a sequence of much easier and more tractable sub-decision problems. Such sequential decisio...More

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