BEED

Introduction

This repository is the Pytorch code for the paper [Rethinking Online Knowledge Distillation with Multi-Exits].

These codes are examples for CIFAR-100 with ResNet18.

For any question or suggestions, feel free to contact hjlee92@yonsei.ac.kr

Dependencies

• Python 3.6.13 (Anaconda)
• Pytorch 1.7.1
• CUDA 10.1

Run

Clone and cd into the repo directory,

run:

python train.py  

Citation

@InProceedings{BEED,
  title = {Rethinking Online Knowledge Distillation with Multi-Exits},
  author ={H. {Lee} and J. -S. {Lee}},
  booktitle = {Proceedings of the Asian Conference on Computer Vision (ACCV)},
  year = {2022}
}