Action Recognition with Joint Attention on Multi-Level Deep Features

9 Jul 2016Jialin WuGu WangWukui YangXiangyang Ji

We propose a novel deep supervised neural network for the task of action recognition in videos, which implicitly takes advantage of visual tracking and shares the robustness of both deep Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN). In our method, a multi-branch model is proposed to suppress noise from background jitters... (read more)

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