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Sep, 2022
针对基于物体的深度主动推理模型的形状和姿势分离
Disentangling Shape and Pose for Object-Centric Deep Active Inference Models
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Stefano Ferraro, Toon Van de Maele, Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt
TL;DR
本文通过使用深度学习方法进行不同因素的状态空间分解,提出了一种在3D物体表示中使用的更好的主动推理模型,以降低模型复杂度并获得更好的解缠实时空。
Abstract
active inference
is a first principles approach for understanding the brain in particular, and sentient agents in general, with the single imperative of minimizing
free energy
. As such, it provides a computationa
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