Figure 5.
The demonstration of channel level sparsity. Each entry in the matrix represents the norm of the kernel. (a,b) illustrate the 2nd and 3rd convolutional layer channel map. The brighter element represents the more important kernel. (c,d) are the corresponding pruned channel map. The white regions are reserved while the black regions are discarded.
