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TP-LSM works by using convolutional and linear layers to develop a multi-dimensional pyramid network, combining the hierarchical construction with the pyramid aspect framework [36] for dense multi-label temporal motion detection. We target the educational of actions of different durations by means of multi-scale and multi-dimensional cross sampling