I have stacked up 100 sequential images of size (100, 3, 16, 701). Given this 4D input tensor excluding the batch size, I want to use a 1D convolution with kernel size n (i.e 100) on temporal dimension to reduce the temporal dimension from n to 1. And again perform a 2D convolution with the output of size (3, 16, 701).
I am using resnet -18 for training.
Suggestion on how to set the parameters for 1d conv and 2d conv on the network would be appreciated.
Thanks in advance.