MobileNet-MXNet

Introduction

This is a MXNet implementation of Google's MobileNets. For details, please read the original paper:

• MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Pretrained Models on ImageNet

A pretrained MobileNet model on ImageNet is provided and you can use score.py to reproduce the accuracy in ImageNet 2012 val dataset.

The top-1/5 accuracy rates by using single center crop (crop size: 224x224, image size: 256xN):

Network	Top-1	Top-5
MobileNet	71.24	90.15

Notes

• RGB mean values [123.68,116.78,103.94] are subtracted
• scale: 0.017 is used as std values for image preprocessing
• I use ChannelwiseConvolution layer from paper
• This model is converted from MobileNet-Caffe
• If you like it, consider giving me a star.
• MXNet 11.0rc supports depthwiseConvolution now!