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VIDEO SYSTEM USING DUAL STAGE ATTENTION BASED RECURRENT NEURAL NETWORK FOR FUTURE EVENT PREDICTION
VIDEO SYSTEM USING DUAL STAGE ATTENTION BASED RECURRENT NEURAL NETWORK FOR FUTURE EVENT PREDICTION
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机译:基于双阶段注意的递归神经网络的视频系统,用于未来事件的预测
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摘要
Systems and devices including an imaging sensor to capture video sequences in an environment having safety concerns therein. The systems and devices further including a processor to generate driving series based on observations from the video sequences, and generate predictions of future events based on the observations using a dual-stage attention-based recurrent neural network (DA-RNN). The DA-RNN includes an input attention mechanism to extract relevant driving series, an encoder to encode the extracted relevant driving series into hidden states, a temporal attention mechanism to extract relevant hidden states, and a decoder to decode the relevant hidden states. The processor further generates a signal for initiating an action to machines to mitigate harm to items.
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