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Jul, 2020
强化学习的顺序众包计数方法
Weighing Counts: Sequential Crowd Counting by Reinforcement Learning
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Liang Liu, Hao Lu, Hongwei Zou, Haipeng Xiong, Zhiguo Cao...
TL;DR
该研究提出一种基于深度强化学习算法的群体计数模型LibraNet,通过模拟天平称重的过程,将计数问题转化为了一个序列决策问题,并在实验中展示了LibraNet的优异表现和泛化能力。
Abstract
We formulate counting as a
sequential decision
problem and present a novel
crowd counting
model solvable by
deep reinforcement learning
. I
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