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TP-LSM uses convolutional and linear levels to construct a multi-dimensional pyramid community, combining the hierarchical construction with the pyramid aspect construction [36] for dense multi-label temporal action detection. We concentrate on the training of actions of different durations as a result of multi-scale and multi-dimensional cross sam