Convolutional Neural Networks

Convolutional Neural Networks are used to extract features from images, employing convolutions as their primary operator. Below you can find a continuously updating list of convolutional neural networks.

METHOD YEAR PAPERS
ResNet
2015 919
AlexNet
2012 286
VGG
2014 240
DenseNet
2016 197
MobileNetV2
2018 112
GoogLeNet
2014 108
ResNeXt
2016 94
Xception
2017 58
Darknet-53
2018 55
SqueezeNet
2016 54
Inception-v3
2015 53
EfficientNet
2019 48
LeNet
1998 44
MobileNetV1
2017 37
Darknet-19
2016 37
WideResNet
2016 29
ShuffleNet
2017 22
SENet
2017 15
Inception-ResNet-v2
2016 11
MnasNet
2018 11
HRNet
2019 10
MobileNetV3
2019 10
ShuffleNet v2
2018 9
Inception v2
2015 8
Inception-v4
2016 8
DPN
2017 8
OverFeat
2013 7
CheXNet
2017 7
PyramidNet
2016 7
AmoebaNet
2018 6
CSPDarknet53
2020 6
RevNet
2017 6
FractalNet
2016 6
SimpleNet
2016 5
FBNet
2018 5
SNet
2019 4
DetNet
2018 4
ZFNet
2013 4
Single-path NAS
2019 4
MixNet
2019 3
PeleeNet
2018 3
SqueezeNeXt
2018 3
SpineNet
2019 3
ResNet-D
2018 3
ProxylessNet-Mobile
2018 2
VoVNet
2019 2
ProxylessNet-CPU
2018 2
Assemble-ResNet
2020 2
DenseNet-Elastic
2018 2
ProxylessNet-GPU
2018 2
McKernel
2017 2
CSPResNeXt
2019 2
CSPDenseNet
2019 1
DenseNAS-A
2019 1
Deep-CAPTCHA
2020 1
ScaleNet
2019 1
GreedyNAS-C
2020 1
MoGA-C
2019 1
ResNeXt-Elastic
2018 1
VoVNetV2
2019 1
DetNASNet
2019 1
CornerNet-Squeeze Hourglass
2019 1
MoGA-B
2019 1
DiCENet
2019 1
MoGA-A
2019 1
SPP-Net
2014 1
ResNeSt
2020 1
CSPPeleeNet
2019 1
GreedyNAS-A
2020 1
DenseNAS-C
2019 1
ESPNetv2
2018 1
SCARLET
2019 1
RegNetY
2020 1
CSPDenseNet-Elastic
2019 1
PReLU-Net
2015 1
TResNet
2020 1
RandWire
2019 1
MultiGrain
2019 1
Big-Little Net
2018 1
ECA-Net
2019 1
Harm-Net
2020 1
GreedyNAS-B
2020 1
GhostNet
2019 1
DenseNAS-B
2019 1
RegNetX
2020 1
SKNet
2000 0