Methods > Computer Vision > Image Models

Convolutional Neural Networks

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

METHOD YEAR PAPERS
ResNet
2015 1134
VGG
2014 290
AlexNet
2012 278
DenseNet
2016 244
MobileNetV2
2018 143
ResNeXt
2016 107
GoogLeNet
2014 106
EfficientNet
2019 102
Darknet-53
2018 94
Xception
2017 72
SqueezeNet
2016 64
Inception-v3
2015 58
LeNet
1998 43
Darknet-19
2016 40
MobileNetV1
2017 39
WideResNet
2016 38
ShuffleNet
2017 28
CSPDarknet53
2020 23
MobileNetV3
2019 21
SENet
2017 18
HRNet
2019 18
MnasNet
2018 15
PCB
2017 14
Inception-ResNet-v2
2016 12
DPN
2017 10
Inception v2
2015 9
Inception-v4
2016 9
ShuffleNet v2
2018 9
CheXNet
2017 9
GhostNet
2019 8
PyramidNet
2016 8
R(2+1)D
2017 7
FBNet
2018 7
OverFeat
2013 7
FractalNet
2016 6
AmoebaNet
2018 6
RevNet
2017 5
ResNeSt
2020 5
MixNet
2019 5
SimpleNet
2016 5
SpineNet
2019 4
SNet
2019 4
RegNetY
2020 4
Single-path NAS
2019 4
ResNet-D
2018 4
DetNet
2018 4
ZFNet
2013 4
SqueezeNeXt
2018 3
PeleeNet
2018 3
Siamese U-Net
2020 2
ProxylessNet-Mobile
2018 2
ScaleNet
2019 2
DenseNet-Elastic
2018 2
VoVNet
2019 2
CLRNet
2020 2
MCKERNEL
2017 2
Big-Little Net
2018 2
ProxylessNet-CPU
2018 2
ProxylessNet-GPU
2018 2
Assemble-ResNet
2020 2
CSPResNeXt
2019 2
CSPDenseNet
2019 1
RepVGG
2021 1
MultiGrain
2019 1
GreedyNAS-A
2020 1
SPP-Net
2014 1
IkshanaNet
2021 1
DenseNAS-C
2019 1
Harm-Net
2020 1
DenseNAS-B
2019 1
TResNet
2020 1
MoGA-B
2019 1
DiCENet
2019 1
ESPNetv2
2018 1
RandWire
2019 1
CSPDenseNet-Elastic
2019 1
DetNASNet
2019 1
MoGA-C
2019 1
MoGA-A
2019 1
GreedyNAS-C
2020 1
GreedyNAS-B
2020 1
ResNeXt-Elastic
2018 1
uNetXST
2020 1
SCARLET
2019 1
ECA-Net
2019 1
DenseNAS-A
2019 1
RegNetX
2020 1
CSPPeleeNet
2019 1
CornerNet-Squeeze Hourglass
2019 1
VoVNetV2
2019 1
PReLU-Net
2015 1
Deep-CAPTCHA
2020 1
SKNet
2000 0