Involution is a neural network operator proposed by Li et al. in 2021. It is designed with characteristics opposite to standard convolution, and is often referred to as an inverse-style convolutional operator.
This post records my study and implementation notes from undergraduate thesis work, including core ideas, structural modifications, and early parallelization attempts for acceleration.
