hjgw / mobilenext

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

Home Page:https://arxiv.org/abs/2007.02269

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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

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

About

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

https://arxiv.org/abs/2007.02269


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Language:Python 100.0%