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Code for LIP: Local Importance-based Pooling
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imagenet Solve 'init_lr' key and possible in_place problem. Aug 17, 2019
README.md

README.md

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.

NEWS

[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).

Dependencies

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

Pretrained Models

You can download ImageNet pretrained models here.

ImageNet

Please refer to imagenet/README.md.

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