Upsampling and downsampling are highly used in deep learning algorithms that involve convolutional neural networks.
Upsampling increases the size downsampling decreases the size of tensors.
What is the role of the word sampling in the words upsampling and downsampling?
Does it always have a connection with the sampling techniques that are generally used in statistics? Or is it true that sometimes it does not have any such connection and the only task of upsampling and downsampling is to increase and decrease respectively the size in any way?