Is it possible that can estimate convolutional kernel that have multi channels and multi filters ?
I saw answer from this to link to estimate kernel for one channel and one filter (Estimating Convolution Kernel from Input and Output Images). When I tried to implement it, I found that it cannot do correlation because the channel of output is not equal with the channel of input.
For example of data,
Input = 20 x 20 x 3 output = 20 x 20 x 32 kernel size = 3 x 3 x 3 x 32