Paper


AlexNet	Imagenet classification with deep convolutional neural networks	2012-NIPS	paper
ZF	Visualizing and Understanding Convolutional Networks	2014-ECCV	arxiv
OverFeat	OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks	2014-ICLR	arxiv
VGG	Very deep convolutional networks for large-scale image recognition	2015-ICLR	arxiv
Inception v1	Going Deeper with Convolutions	2015-CVPR	arxiv
Inception v2	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015-ICML	arxiv
Inception v3	Rethinking the Inception Architecture for Computer Vision	2016-CVPR	arxiv
Inception v4	Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning	2017-AAAI	arxiv
ResNet,ORU	deep residual learning for image recognition	2016-CVPR	arxiv	code
ResNet,PRU	Identity Mappings in Deep Residual Networks	2016-ECCV	arxiv	code
ResNeXt	Aggregated Residual Transformations for Deep Neural Networks	2017-CVPR	arxiv	code
DenseNet	Densely Connected Convolutional Networks	2017-CVPR	arxiv	code

Leadboard

							ILSVRC2012
	params	FLOPs	size	augmentation	model	crops	top1	top5
DenseNet-121					1	1	25.02	7.71
DenseNet-169					1	1	23.8	6.85
DenseNet-201					1	1	22.58	6.34
DenseNet-264					1	1	22.15	6.12
DenseNet-121					1	10	23.61	6.66
DenseNet-169					1	10	22.08	5.92
DenseNet-201					1	10	21.46	5.54
DenseNet-264					1	10	20.8	5.29
ResNeXt-50			224		1	1	24.4	6.6
ResNeXt-101			224		1	1	22.2	5.7
Inception-ResNet-v4					1	1	21.3	5.5
Inception-v4					1	1	20	5
Inception-ResNet-v2					1	1	19.9	4.9
Inception-ResNet-v1					1	12	19.8	4.6
Inception-v4					1	12	18.7	4.2
Inception-ResNet-v2					1	12	18.7	4.1
Inception-ResNet-v1					1	144	18.8	4.3
Inception-v4					1	144	17.7	3.8
Inception-ResNet-v2					1	144	17.8	3.7
Inception-v4 +3× Inception-ResNet-v2					4	144	16.5	3.1
Resnet-50,ORU					1		20.74	5.25
Resnet-101,ORU					1		19.87	4.6
Resnet-152,ORU		11.3b			1		19.38	4.49
ResNet-152, ORU			224/224	scale	1		23	6.7
ResNet-152, ORU			224/320	scale	1		21.3	5.5
ResNet-152, PRU			224/320	scale	1		21.1	5.5
ResNet-200, ORU			224/320	scale	1		21.8	6
ResNet-200, PRU			224/320	scale	1		20.7	5.3
ResNet-200, PRU			224/320	scale,asp ratio	1		20.1	4.8
Inception-v3			299		1	12	19.47	4.48
Inception-v3			299		1	144	18.77	4.2
Inception-v3			299		4	144	17.2	3.58
Inception-v2					1	1	25.2	7.82
Inception-v2					1	144	21.99	5.82
Inception-v2					6	144	20.1	4.9
Inception-v1			224		1	1		10.07
Inception-v1			224		1	10		9.15
Inception-v1			224		1	144		7.89
Inception-v1			224		7	1		8.09
Inception-v1			224		7	10		7.62
Inception-v1			224		7	144		6.67
VGG-16			256				27	8.8
VGG-16			384				26.8	8.7
VGG-16			[256;512]/384				25.6	8.1
VGG-16			256/[224;256;288]				26.6	8.6
VGG-16			384/[352;384;416]				26.5	8.6
VGG-16			[256;512]/[256;384;512]				26.5	7.5
VGG-16							24.6	7.5
VGG-16							24.4	7.2
VGG-19			256				27.3	9
VGG-19			384				26.9	8.7
VGG-19			[256;512]/384				25.5	8
VGG-19			256/[224;256;288]				26.9	8.7
VGG-19			384/[352;384;416]				26.7	8.6
VGG-19			[256;512]/[256;384;512]				24.8	7.5
VGG-19							24.6	7.4
VGG-19							24.4	7.1