近期要读的CNN图像分类论文列表 | 天一阁

近期要读的CNN图像分类论文列表

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