Estimating probability distributions which describe where an object is likely to be from camera data is a task with many applications. In this work we describe properties which we argue such methods should conform to. We also design a method which conform to these properties. In our experiments we show that our method produces uncertainties which correlate well with empirical errors. We also show that the mode of the predicted distribution outperform our regression baselines. The code for our implementation is available online.
翻译:描述一个天体可能来自相机数据的概率分布估计是许多应用程序的任务。 在此工作中, 我们描述我们所认为的这些方法应该符合的属性。 我们还设计了一种与这些属性相符的方法。 在实验中, 我们证明我们的方法产生的不确定性与经验错误密切相关。 我们还显示预测的分布模式超过我们的回归基线。 我们执行的代码可以在线查阅 。</s>