TP-LSM utilizes convolutional and linear levels to develop a multi-dimensional pyramid network, combining the hierarchical composition While using the pyramid feature composition [36] for dense multi-label temporal action detection. We concentrate on the learning of actions of different durations by multi-scale and multi-dimensional cross sampling