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TP-LSM employs convolutional and linear layers to construct a multi-dimensional pyramid network, combining the hierarchical structure With all the pyramid aspect composition [36] for dense multi-label temporal action detection. We deal with the training of actions of different durations via multi-scale and multi-dimensional cross sampling approache