1998----LeNet----Gradient-based learning applied to document recognition
2012 ILSVRC AlexNet----Imagenet classification with deep convolutional neural networks
2013----ILSVRC ZFNet----Visualizing and Understanding Convolutional Networks
2014----AlexNet V2----One weird trick for parallelizing convolutional neural networks
2014----ILSVRC VGGnet----Very deep convolutional networks for large-scale image recognition ----(ICLR 2015)
2014----NiN----Network in Network
2014----ILSVRC GoogLeNet(Inception V1)----Going deeper with convolutions_ILSVRC2014 ----(CVPR 2015)
2015----ILSVRC ResNet----Deep Residual Learning for Image Recognition——(CVPR 2016)
2015----inception v3----Rethinking the Inception Architecture for Computer Vision
2015----ReNet_A Recurrent Neural Network Based
2016---- Neural Architecture Search with Reinforcement Learning
2016----Binarized Neural Networks_Training Neural Networks with Weights and Activations Constrained to+ 1 or−1
2016----Identity Mappings in Deep Residual Networks —— (ECCV 2016)
2016----Inception V4----Inception-ResNet and the Impact of Residual Connections on Learning
2016----Interleaved Group Convolutions for Deep Neural Networks
2016----Residual Networks are Exponential Ensembles of Relatively Shallow Networks
2016----SqueezeNet- AlexNet-level accuracy with 50x fewer parameters and 0.5MB model size
2016----Wide Residual Networks
2017---- FractalNet_Ultra-Deep Neural Networks without Residuals
2017---- Xception_Deep Learning with Depthwise Separable Convolutions
2017----An Analysis of Deep Neural Network Models for Practical Applications
2017----CVPR2017 best paper----DenseNet ----Densely Connected Convolutional Networks
2017---- (ResNext) Aggregated residual transformations for deep neural networks (CVPR 2017)
2017----ILSVRC2017 winner SENet----Squeeze-and-Excitation Networks
2017----Interleaved Group Convolutions for Deep Neural Networks
2017----Learning Transferable Architectures for Scalable Image Recognition
2017----Residual Attention Network for Image Classification
2017----Neural Architecture Search with Reinforcement Learning (ICLR,2017)
2017----Learning Transferable Architectures for Scalable Image Recognition
2017----Progressive Neural Architecture Search
2018----Efficient Neural Architecture Search via Parameter Sharing
2017----CVPR----ShuffleNet_An Extremely Efficient Convolutional Neural Network for Mobile
2017---- MobileNetV1_Efficient Convolutional Neural Networks for Mobile Vision Applications
2018----MobileNetV2----Inverted Residuals and Linear Bottlenecks: Mobile Networks for Classification, Detection and Segmentation
2018----MnasNet: Platform-Aware Neural Architecture Search for Mobile