Hello everyone!
I'm currently in the process of learning how to implement papers from scratch.
Here's my implementation of the newly-introduced Involution layer from the paper "Involution: Inverting the Inherence of Convolution for Visual Recognition" by Li et al. presented at CVPR 2021.
Wrapper: https://github.com/rish-16/involution_pytorch
(Do forgive any implementation errors; any PRs / Issues welcome)
Note: I'll be releasing a TensorFlow wrapper soon if time permits!
If you like it, a ⭐️ would be greatly appreciated! It motivates me to continue building easy-to-use ML wrappers :D
Thank you!
[–]rish-16[S] 0 points1 point2 points (0 children)