Skip to content
Source code of paper: (not available now)
Branch: master
Clone or download
Latest commit 97a91e5 Nov 25, 2018
Type Name Latest commit message Commit time
Failed to load latest commit information.
pictures Add files via upload Nov 17, 2018
src add 3x3 folded par-view Nov 13, 2018


Source code of paper:

(not availbale now)


Competitive Squeeze-Exciation Architecutre for Residual block

SE-ResNet module and CMPE-SE-ResNet modules:

Normal SE Double FC squeezes Conv 2x1 pair-view Conv 1x1 pair-view

The Novel Inner-Imaging Mechanism for Channel Relation Modeling in Channel-wise Attention of ResNets (even All CNNs):

Basic Inner-Imaing Mode Folded Inner-Imaging Mode


  • MXNet 1.2.0
  • Python 2.7
  • CUDA 8.0+(for GPU)


not available now

Essential Results

Best record of this novel model on CIFAR-10 and CIFAR-100 (used "mixup" ( can achieve: 97.55% and 84.38%.

The test result on Kaggle: CIFAR-10 - Object Recognition in Images

Inner-Imaging Examples & Channel-wise Attention Outputs

You can’t perform that action at this time.