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Aug, 2019
利用点监督进行人群计数的贝叶斯损失
Bayesian Loss for Crowd Count Estimation with Point Supervision
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Zhiheng Ma, Xing Wei, Xiaopeng Hong, Yihong Gong
TL;DR
该研究提出了基于贝叶斯损失的密度图建立方法,通过点注释所构建的密度贡献概率模型来进行较可靠的监督学习,该方法在不使用外部侦测器或多尺度结构下,在最新的和最大的UCF-QNRF数据集上取得了最佳表现。
Abstract
In
crowd counting
datasets, each person is annotated by a point, which is usually the center of the head. And the task is to estimate the total count in a crowd scene. Most of the state-of-the-art methods are based on
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