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Aug 27, 2020
Oct 29, 2019
Aug 20, 2019

ShuffleNet Series

ShuffleNet Series by Megvii Research.

Introduction

This repository contains the following ShuffleNet series models:

Trained Models

  • OneDrive download: Link
  • BaiduYun download: Link (extract code: mc24)

Details

ShuffleNetV2+

The following is the comparison between ShuffleNetV2+ and MobileNetV3. Details can be seen in ShuffleNetV2+.

Model FLOPs #Params Top-1 Top-5
ShuffleNetV2+ Large 360M 6.7M 22.9 6.7
MobileNetV3 Large 224/1.25 356M 7.5M 23.4 -
ShuffleNetV2+ Medium 222M 5.6M 24.3 7.4
MobileNetV3 Large 224/1.0 217M 5.4M 24.8 -
ShuffleNetV2+ Small 156M 5.1M 25.9 8.3
MobileNetV3 Large 224/0.75 155M 4.0M 26.7 -

ShuffleNetV2

The following is the comparison between ShuffleNetV2 and MobileNetV2. Details can be seen in ShuffleNetV2.

Model FLOPs #Params Top-1 Top-5
ShuffleNetV2 2.0x 591M 7.4M 25.0 7.6
MobileNetV2 (1.4) 585M 6.9M 25.3 -
ShuffleNetV2 1.5x 299M 3.5M 27.4 9.4
MobileNetV2 300M 3.4M 28.0 -
ShuffleNetV2 1.0x 146M 2.3M 30.6 11.1
ShuffleNetV2 0.5x 41M 1.4M 38.9 17.4

ShuffleNetV2.Large

The following is the comparison between ShuffleNetV2.Large and SENet. Details can be seen in ShuffleNetV2.Large.

Model FLOPs #Params Top-1 Top-5
ShuffleNetV2.Large 12.7G 140.7M 18.56 4.48
SENet 20.7G - 18.68 4.47

ShuffleNetV2.ExLarge

The following is the result of ShuffleNetV2.ExLarge. Details can be seen in ShuffleNetV2.ExLarge.

Model FLOPs #Params Top-1 Top-5
ShuffleNetV2.ExLarge 46.2G 254.7M 15.52 2.9

ShuffleNetV1

The following is the comparison between ShuffleNetV1 and MobileNetV1. Details can be seen in ShuffleNetV1.

Model FLOPs #Params Top-1 Top-5
ShuffleNetV1 2.0x (group=3) 524M 5.4M 25.9 8.6
ShuffleNetV1 2.0x (group=8) 522M 6.5M 27.1 9.2
1.0 MobileNetV1-224 569M 4.2M 29.4 -
ShuffleNetV1 1.5x (group=3) 292M 3.4M 28.4 9.8
ShuffleNetV1 1.5x (group=8) 290M 4.3M 29.0 10.4
0.75 MobileNetV1-224 325M 2.6M 31.6 -
ShuffleNetV1 1.0x (group=3) 138M 1.9M 32.2 12.3
ShuffleNetV1 1.0x (group=8) 138M 2.4M 32.0 13.6
0.5 MobileNetV1-224 149M 1.3M 36.3 -
ShuffleNetV1 0.5x (group=3) 38M 0.7M 42.7 20.0
ShuffleNetV1 0.5x (group=8) 40M 1.0M 41.2 19.0
0.25 MobileNetV1-224 41M 0.5M 49.4 -

OneShot

The following is the comparison between Single Path One-Shot NAS and other NAS counterparts. Details can be seen in OneShot.

Model FLOPs #Params Top-1 Top-5
OneShot 328M 3.4M 25.1 8.0
NASNET-A 564M 5.3M 26.0 8.4
PNASNET 588M 5.1M 25.8 8.1
MnasNet 317M 4.2M 26.0 8.2
DARTS 574M 4.7M 26.7 8.7
FBNet-B 295M 4.5M 25.9 -

DetNAS

The following is the performance of DetNAS backbones on ImageNet, compared with ResNet. Backbone details can be seen in DetNAS.

Model FLOPs #Params Top-1 Top-5 mAP*
300M (VOC, RetinaNet) 300M 3.5M 25.4 8.1 80.1
300M (VOC, FPN) 300M 3.7M 25.9 8.3 81.5
300M (COCO, RetinaNet) 300M 3.7M 26.0 8.4 33.3
300M (COCO, FPN) 300M 3.5M 26.2 8.4 36.4
1.3G (COCO, FPN) 1.3G 10.4M 22.8 6.5 40.0
3.8G (COCO, FPN) 3.8G 29.5M 21.6 6.3 42.0
ResNet50 (COCO, FPN) 3.8G - 23.9 7.1 37.3
ResNet101 (COCO, FPN) 7.6G - 22.6 6.4 40.0
  • More about DetNAS in Link.

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