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 - Inverted Residuals and Linear Bottlenecks: Mobile Networks for Classification, Detection and Segmentation

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|model size :---:|:---:|:---:|---:| MobileNet| 71.24| 90.15| 16.6MB | MobileNet-V2 | 71.62 | 90.27| 13.8MB |

Notes

• RGB mean values [123.68,116.78,103.94] are subtracted

• scale: 0.017 is used as std values for image preprocessing

• This model is converted from MobileNet-Caffe

• MXNet 11.0rc supports depthwiseConvolution now!