A collection of classic papers on convolutional neural networks (deep learning classification)

Convolutional neural network classic papers collection

For the convenience of writing in-depth learning classification network overview , Now I will sort out the classic papers in recent years . Most of the article time is for reference arXiv The sharing time shall prevail , A small part is the publication date of the journal .

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Download address

CSDN：https://download.csdn.net/download/weixin_43312117/85878577
Baidu cloud ： link : https://pan.baidu.com/s/1spSZNYlJwvnM1sCD4W8qog?pwd=dqeb
Extraction code : dqeb

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1998_LeNet

title ：Gradient-Based Learning Applied to Document Recognition
author ：Yann LeCun, Leon Bottou, Yoshua Bengio, and Patrick Haffner

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2012_AlexNet

title ：ImageNet Classification with Deep Convolutional Neural Networks
author ：Alex Krizhevsky,Ilya Sutskever,Geoffrey E. Hinton

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2013_11_ZfNet

title ：Visualizing and Understanding Convolutional Networks
author ：Matthew D. Zeiler,Rob Fergus

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2014_GoogLeNet

2014_09_GoogLeNet_V1

title ：Going deeper with convolutions
author ：Christian Szegedy,Wei Liu,Yangqing Jia,Pierre Sermanet,Scott Reed,Dragomir Anguelov,Dumitru Erhan,Vincent Vanhoucke,Andrew Rabinovich

2015_03_GoogLeNet_V2

title ：Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
author ：Sergey Ioffe,Christian Szegedy

2015_12_GoogLeNet_V3

title ：Rethinking the Inception Architecture for Computer Vision
author ：Christian Szegedy,Vincent Vanhoucke,Sergey Ioffe,Jonathon Shlens

2016_08_GoogLeNet_V4

title ：Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
author ：Christian Szegedy,Sergey Ioffe,Vincent Vanhoucke

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2015_04_VGG

subject ：VERY DEEP CONVOLUTIONAL NETWORKS FOR LARGE-SCALE IMAGE RECOGNITION
author ：Karen Simonyan,Andrew Zisserman

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2015_12_ResNet

subject ：Deep Residual Learning for Image Recognition
author ：Kaiming He,Xiangyu Zhang,Shaoqing Ren,Jian Sun

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2016_11_SqueezeNet

title ：SQUEEZENET: ALEXNET-LEVEL ACCURACY WITH 50X FEWER PARAMETERS AND <0.5MB MODEL SIZE
author ：Forrest N. Iandola,Song Han,Matthew W.Moskewicz,Khalid Ashraf,William J. Dally,Kurt Keutzer

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Attention

2017_SENet

title ：Squeeze-and-Excitation Networks
author ：Jie Hu,Li Shen,Samuel Albanie,Gang Sun,Enhua Wu
（ Officially published in 2019 year 5 month ）

2018_CBAM

title ：CBAM: Convolutional Block Attention Module
author ：Sanghyun Woo,Jongchan Park,Joon-Young Lee,In So Kweon

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2017_MobileNet

2017_04_MobileNetV1

title ：MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
author ：Andrew G. Howard,Menglong Zhu,Bo Chen,Dmitry Kalenichenko,Weijun Wang,Tobias Weyand,Marco Andreetto,Hartwig Adam

2019_03_MobileNetV2

title ：MobileNetV2: Inverted Residuals and Linear Bottlenecks
author ：Mark Sandler,Andrew Howard,Menglong Zhu,Andrey Zhmoginov,Liang-Chieh Chen

2019_11_MobileNetV3

Searching for MobileNetV3
Andrew Howard,Mark Sandler,Grace Chu,Liang-Chieh Chen,Bo Chen,Mingxing Tan,Weijun Wang,Yukun Zhu,Ruoming Pang,Vijay Vasudevan,Quoc V. Le,Hartwig Adam

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2017_08_DPNet

title ：Dual Path Networks
author ：Yunpeng Chen,Jianan Li,Huaxin Xiao,Xiaojie Jin,Shuicheng Yan,Jiashi Feng

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2017_11_CapsNet

title ：Dynamic Routing Between Capsules
author ：Sara Sabour,Nicholas Frosst

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2017_ShuffleNet

2017_12_ShuffleNetV1

title ：ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
author ：Xiangyu Zhang,Xinyu Zhou,Mengxiao Lin,Jian Sun

2018_04_ShuffleNetV2

title ：ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design
author ：Ningning Ma,Xiangyu Zhang,Hai-Tao Zheng,Jian Sun

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2018_01_DenseNet

title ：Densely Connected Convolutional Networks
author ：Gao Huang,Zhuang Liu,Laurens van der Maaten,Kilian Q. Weinberger

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2019_11_EfficientNet

title ：EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
author ：Mingxing Tan,Quoc V. Le

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2021_Transformer

2021_06_ViT

title ：AN IMAGE IS WORTH 16X16 WORDS: TRANSFORMERS FOR IMAGE RECOGNITION AT SCALE
author ：Alexey Dosovitskiy,Lucas Beyer,Alexander Kolesnikov,Dirk Weissenborn,Xiaohua Zhai,Thomas Unterthiner,Mostafa Dehghani,Matthias Minderer,Georg Heigold,Sylvain Gelly,Jakob Uszkoreit,Neil Houlsby

2021_08_Swin Transformer

title ：Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Ze Liu,Yutong Lin,Yue Cao,Han Hu,Yixuan Wei,Zheng Zhan,Stephen Lin,Baining Guo

2021_08_PVT

title ：Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions
author ：Wenhai Wang, Enze Xie, Xiang Li, Deng-Ping Fan, Kaitao Song, Ding Liang, Tong Lu1, Ping Luo, Ling Shao

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2022_03_ConvNet

title ：A ConvNet for the 2020s
author ：Zhuang Liu,Hanzi Mao,Chao-Yuan Wu,Christoph Feichtenhofer,Trevor Darrell,Saining Xie

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Modify the record

• 2022 year 07 month 03 Japan 12:09:46, Preliminary completion , It can be continuously updated and has the opportunity to add the core description of relevant papers .