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RECURRENT NETWORKS WITH MOTION-BASED ATTENTION FOR VIDEO UNDERSTANDING

机译:具有基于运动的视频理解注意的递归网络

摘要

A method of predicting action labels for a video stream includes receiving the video stream and calculating an optical flow of consecutive frames of the video stream. An attention map is generated from the current frame of the video stream and the calculated optical flow. An action label is predicted for the current frame based on the optical flow, a previous hidden state and the attention map.
机译:预测视频流的动作标签的方法包括:接收视频流;以及计算视频流的连续帧的光流。从视频流的当前帧和计算出的光流中生成注意力图。根据光流,先前的隐藏状态和注意图,为当前帧预测动作标签。

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