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What is: Pointwise Convolution?

Year2016
Data SourceCC BY-SA - https://paperswithcode.com

Pointwise Convolution is a type of convolution that uses a 1x1 kernel: a kernel that iterates through every single point. This kernel has a depth of however many channels the input image has. It can be used in conjunction with depthwise convolutions to produce an efficient class of convolutions known as depthwise-separable convolutions.

Image Credit: Chi-Feng Wang