TSM: Temporal Shift Module for Efficient Video Understanding

20 Nov 2018Ji LinChuang GanSong Han

The explosive growth in video streaming gives rise to challenges on performing video understanding at high accuracy and low computation cost. Conventional 2D CNNs are computationally cheap but cannot capture temporal relationships; 3D CNN based methods can achieve good performance but are computationally intensive, making it expensive to deploy... (read more)

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