Involution

This repository contains re-Implementation of https://arxiv.org/abs/2103.06255

Involution Kernal

The authors of Involution: Inverting the Inherence of Convolution for Visual Recognition propose a novel involutional layers, which aims to enhance the representation power of convolutional neural networks by inverting the inherent properties of convolution operations. As such these kernals are channel agnostic and spatial specific.

Usage

from models.rednet import RedNet

rednet50 = RedNet(50) # 50 layer Rednet model

Folders

models contains implementation of backbone models introduced the paper and related heads and neck architectures.

notebooks contains main python notebooks for training and testing.

To Do