PICNN

About

This repository is the official PyTorch implementation of "PICNN: A Pathway towards Interpretable Convolutional Neural Networks", Wengang Guo $^*$, Jiayi Yang $^*$, Huilin Yin, Qijun Chen, Wei Ye, AAAI 2024.

Experiment

• Apply the python environment:

  conda create -n PICNN python=3.8
  conda activate PICNN
  ./requirements.sh

• Conduct the experiment:

Standard CNNs (STD) using ResNet as the backbone:

python main.py -configFileName='./configs/cifar10.yml' -backbone='resnet18' -criterion='StandardCE'

PICNN:

python main.py -configFileName='./configs/cifar10.yml' -backbone='resnet18' -criterion='ClassSpecificCE'