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https://github.com/rangilyu/mobilenext

non-official PyTorch implementation of MobileNeXt from paper [Rethinking Bottleneck Structure for Efficient Mobile Network Design]
https://github.com/rangilyu/mobilenext

deep-neural-networks mobilenet pytorch

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non-official PyTorch implementation of MobileNeXt from paper [Rethinking Bottleneck Structure for Efficient Mobile Network Design]

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# MobileNeXt: Rethinking Bottleneck Structure for Efficient Mobile Network Design

## Introduction
This is a non-official PyTorch implementation of MobileNeXt model from this paper [Rethinking Bottleneck Structure for Efficient Mobile Network Design](https://arxiv.org/abs/2007.02269)

## Details

### Architecture
The following is the architecture details of MobileNeXt

| No. | t | Out-Dim | s | b |Inp-Dim |Operater |
| :---- | :---: | :------: | :---: | :------: | :------: |:------: |
| 1 | - |112 × 112 × 32 | 2 | 1 | 224 × 224 × 3| conv2d 3x3|
| 2 | 2 |56 × 56 × 96 | 2 | 1 | 112 × 112 × 32| sandglass block|
| 3 | 6 |56 × 56 × 144 | 1 | 1 | 56 × 56 × 96 | sandglass block|
| 4 | 6 |28 × 28 × 192 | 2 | 3 | 56 × 56 × 144| sandglass block|
| 5 | 6 |14 × 14 × 288 | 2 | 3 | 28 × 28 × 192| sandglass block|
| 6 | 6 |14 × 14 × 384 | 1 | 4 | 14 × 14 × 288| sandglass block|
| 7 | 6 |7 × 7 × 576 | 2 | 4 | 14 × 14 × 384| sandglass block|
| 8 | 6 |7 × 7 × 960 | 1 | 2 | 7 × 7 × 576 | sandglass block|
| 9 | 6 |7 × 7 × 1280 | 1 | 1 | 7 × 7 × 960 | sandglass block|
| 10 | - |1 × 1 × 1280 | - | 1 | 7 × 7 × 1280| avgpool 7x7|
| 11 | - |k | - | 1 | 1 × 1 × 1280| conv2d 1x1|

### Sand Glass Module
![sandglass_image](doc/sand_glass.png)