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README.md Update README.md Aug 13, 2019
cifar.py add codes Aug 13, 2019

README.md

Instance Enhancement Batch Normalization: an Adaptive Regulator of Batch Noise

996.ICU GitHub GitHub

By Senwei Liang*, Zhongzhan Huang* (* contribute equally), Mingfu Liang and Haizhao Yang.

This repository is the implementation of "Instance Enhancement Batch Normalization: an Adaptive Regulator of Batch Noise" [paper] on CIFAR-100 dataset.

Introduction

Instance Enhancement Batch Normalization (IEBN) is an attention-based version of BN which recalibrates channel information of BN by a simple linear transformation.

Requirement

Usage

python cifar.py -a iebn_resnet --dataset cifar100 --block-name bottleneck --depth 164 --epochs 164 --schedule 81 122 --gamma 0.1 --wd 1e-4 --checkpoint checkpoints/cifar100/resnet-164-iebn

Results

original IEBN
ResNet164 74.29 77.09

Notes:

  • Training on 2 GPUs

Citing IEBN

Acknowledgments

Many thanks to bearpaw for his simple and clean Pytorch framework for image classification task.

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