Skip to content
Code for LIP: Local Importance-based Pooling
Python Makefile
Branch: master
Clone or download
Latest commit cc80b6e Aug 17, 2019
Type Name Latest commit message Commit time
Failed to load latest commit information.
imagenet Solve 'init_lr' key and possible in_place problem. Aug 17, 2019

LIP: Local Importance-based Pooling

PyTorch implementations of LIP (ICCV 2019).

[arxiv link]

This codebase is under construction and will contain:

  • the implementation of LIP based on PyTorch primitives,
  • LIP-ResNet,
  • LIP-DenseNet,
  • ImageNet training and testing code,
  • CUDA implementation of LIP.


[8.13] We uploaded the code of LIP-ResNets and their ImageNet pretrained models (LIP-ResNet-50 & 101).

[8.17] Fixed the missing init_lr key and the possible in_place mul_ operation problem (reported in PyTorch 1.1).


  1. Python 3.6
  2. PyTorch 1.0+
  3. tensorboard and tensorboardX

Pretrained Models

You can download ImageNet pretrained models here.


Please refer to imagenet/

You can’t perform that action at this time.