Skip to content
transmuteAIPublic

About

Official Implementation "Rescaling CNN through Learnable Repetition of Network Parameters"

Resources

Stars

8 stars

Watchers

1 watching

Forks

Latest commit

 

History

53 Commits

Folders and files

Repository files navigation

RESCALING CNN THROUGH LEARNABLE REPETITION OF NETWORK PARAMETERS

Prerequisites

Install prerequisites with:

pip install -r requirements.txt

Note -

Make sure to comment out "e2cnn/nn/modules/r2_conv/r2convolution.py" Line number 176 and 177.

Usage (summary)

The main script offers many options; here are the most important ones:

usage: python main.py --model_name {model name} --dataset {dataset: CIFAR10, CIFAR100, rot-MNIST} --num_classes {num_classes} --epochs {number of epochs to train}

Citation

Please cite our paper in your publications if it helps your research. Even if it does not,and you want to make us happy, do cite it :)

@INPROCEEDINGS{9506158,
author={Chavan, Arnav and Bamba, Udbhav and Tiwari, Rishabh and Gupta, Deepak},
booktitle={2021 IEEE International Conference on Image Processing (ICIP)}, 
title={Rescaling CNN Through Learnable Repetition of Network Parameters}, 
year={2021},
volume={},
number={},
pages={754-758},
doi={10.1109/ICIP42928.2021.9506158}}

License

This project is licensed under the MIT License.

About

Official Implementation "Rescaling CNN through Learnable Repetition of Network Parameters"

Resources

Stars

8 stars

Watchers

1 watching

Forks

Releases

Packages

Contributors

Languages