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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
Last synced: 6 days ago
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non-official PyTorch implementation of MobileNeXt from paper [Rethinking Bottleneck Structure for Efficient Mobile Network Design]
- Host: GitHub
- URL: https://github.com/rangilyu/mobilenext
- Owner: RangiLyu
- Created: 2020-07-08T03:29:45.000Z (over 4 years ago)
- Default Branch: master
- Last Pushed: 2020-11-12T06:55:22.000Z (about 4 years ago)
- Last Synced: 2025-01-09T21:51:45.807Z (18 days ago)
- Topics: deep-neural-networks, mobilenet, pytorch
- Language: Python
- Homepage: https://arxiv.org/abs/2007.02269
- Size: 104 KB
- Stars: 48
- Watchers: 5
- Forks: 8
- Open Issues: 1
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Metadata Files:
- Readme: README.md
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README
# 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)