Group Fisher Pruning for Practical Network Compression

FisherPruning

Group Fisher Pruning for Practical Network Compression(ICML2021)

NOTES

All models about detection has been released. The classification models will be released later, because we want to refactor all our code into a Hook , so that it can become a more general tool for all tasks in OpenMMLab.

We will continue to improve this method and apply it to more other tasks, such as segmentation and pose.

The layer grouping algorithm is implemtated based on the AutoGrad of Pytorch, If you are not familiar with this feature and you can read Chinese, then these materials may be helpful to you.

  1. AutoGrad in Pytorch
  2. Hook of MMCV

Introduction

1. Compare with state-of-the-arts.

sota

2. Can be applied to various

 

 

 

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