THE BASIC PRINCIPLES OF LSMPARTS

The Basic Principles Of lsmparts

TP-LSM works by using convolutional and linear layers to build a multi-dimensional pyramid network, combining the hierarchical composition with the pyramid function construction [36] for dense multi-label temporal action detection. We concentrate on the learning of actions of different durations via multi-scale and multi-dimensional cross sampling

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