2017
Action-Decision Networks for Visual Tracking With Deep Reinforcement Learning
CVPR 2017spotlight
This paper proposes a novel tracker which is controlled by sequentially pursuing actions learned by deep reinforcement learning. In contrast to the existing trackers using deep networks, the proposed tracker is designed to achieve a light computation as well as satisfactory tracking accuracy in both…