ShuffleNet-Series

2020-01-16 |

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ShuffleNet Series

ShuffleNet Series by Megvii Research.

Introduction

This repository contains the following ShuffleNet series models:

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	-

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

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

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

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	-

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	-

The following is the performance of DetNAS on ImageNet, compared with ResNet. 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

*COCO models are coming soon.

上一篇：ShuffleNet

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