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Aug, 2019
采样免的近似方差传播用于认知不确定性估计
Sampling-free Epistemic Uncertainty Estimation Using Approximated Variance Propagation
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Janis Postels, Francesco Ferroni, Huseyin Coskun, Nassir Navab, Federico Tombari
TL;DR
提供了一种比使用蒙特卡洛采样估计神经网络的认识不确定性的方法更加高效的近似方法，该方法适用于大规模视觉任务。
Abstract
We present a sampling-free approach for computing the
epistemic uncertainty
of a
neural network
.
epistemic uncertainty
is an important qua
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