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Dense convolutional networks for efficient video analysis

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Figure

Figure 2 A video will be divided into N subsection, and sampled one frame form each subsection randomly, 2 DenseConvLSTM part will be used to learn sample  spatiotemporal feature, the feature from different frame have same place
TABLE I.  THE PROPOSED ARCHITECTURE OF CNN
TABLE III.  THE SIMULATION RESULTS

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