LeNet 1986
AlexNet 2012 http://pan.baidu.com/s/1NpEG2，作者:Alex Krizhevsky,Ilya Sutskever,Geoffrey E.Hinton
VGGNet 2014 https://arxiv.org/pdf/1409.1556.pdf 6.8% test error,作者:Karen Simonyan,Andrew Zisserman
GoogleNet(inception v1) 2014 http://arxiv.org/pdf/1409.4842v1.pdf Going Deeper with Convolutions, 6.67% test error
作者:Christian Szegedy,Wei Liu,Yangqing Jia,Pierre Sermanet,Scott Reed,Dragomir Anguelov,Dumitru Erhan,Vincent Vanhoucke,Andrew Rabinovich
resNet 2015 https://arxiv.org/pdf/1512.03385.pdf 3.6% test error,作者:Kaiming He, Xiangyu Zhang,Shaoqing Ren,Jian Sun
inception V2-V3 2015 http://arxiv.org/abs/1512.00567 3.6% test error
作者:Christian Szegedy,Vincent Vanhoucke,Sergey Ioffe,Jonathon Shlens
BN layer https://arxiv.org/pdf/1502.03167.pdf 4.8% test error,作者:bn Sergey Ioffe,Christian Szegedy
Inception-v4, Inception-ResNet 2016 http://arxiv.org/abs/1602.07261 3.08% test error
作者:Christian Szegedy，Sergey Ioffe，Vincent Vanhoucke
xception 2017 https://arxiv.org/pdf/1610.02357.pdf 94.5% acc,作者:Francois Chollet
denseNet 2017(best) https://arxiv.org/abs/1608.06993 5.29% test error
MobileNet 2017 https://arxiv.org/pdf/1704.04861.pdf top1 70.6%
NasNet 2018 https://arxiv.org/abs/1707.07012 top1 82.7% top 5 96.2
SqueezeNet 2016 http://arxiv.org/abs/1602.07360 top1 60.4% top5 82.5%
Object Detection
RCNN 2013 http://arxiv.org/abs/1311.2524
SPPNet 2014 https://arxiv.org/abs/1406.4729v2
fast RCNN 2015 https://arxiv.org/abs/1504.08083
faster RCNN 2015 https://arxiv.org/abs/1506.01497
YOLO 2015 https://arxiv.org/abs/1506.02640
SSD 2015 https://arxiv.org/abs/1512.02325
YOLO9000 2016 https://arxiv.org/abs/1612.08242
R-FCN 2016 https://arxiv.org/abs/1605.06409
Deformable-ConvNets 2017 https://arxiv.org/abs/1703.06211
Mask R-CNN 2017 https://arxiv.org/abs/1703.06870
FPN(Feature Pyramid Networks for Object Detection) 2017 https://arxiv.org/abs/1612.03144 对不同卷积层进行融合merge