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Fastigheten och skatten
Generationsskiften och blandade fång
Srf Deklaration 2017
Deep Reinforcement Learning for Active Human Pose Estimation
Most 3d human pose estimation methods assume that input – be it images of a scene collected from one or several viewpoints, or from a video – is given. Consequently, they focus on estimates leveraging prior knowledge and measurement by fusing information spatially and/or temporally, whenever available. In this paper we address the problem of an active observer with freedom to move and explore the
