Domino Saliency Metrics: Improving Existing Channel Saliency Metrics with Structural Information. (arXiv:2205.02131v1 [cs.CV])

Channel pruning is used to reduce the number of weights in a Convolutional
Neural Network (CNN). Channel pruning removes slices of the weight tensor so
that the convolution layer remains dense. The removal of these weight slices
from a single layer causes mismatching number of feature maps between layers of
the network. A simple solution is to force the number of feature map between
layers to match through the removal of weight slices from subsequent layers.
This additional constraint becomes …

arxiv cv domino information metrics