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卷积神经网络经典论文集合（深度学习分类篇）

2022-07-04 12:51:00 【陈嘿萌】

卷积神经网络经典论文集合

为方便撰写深度学习分类网络综述，现将近年以来经典论文做一个整理。文章时间大部分参考arXiv分享时间为准，小部分为期刊的出版日期。

下载地址

CSDN：https://download.csdn.net/download/weixin_43312117/85878577
百度云：链接: https://pan.baidu.com/s/1spSZNYlJwvnM1sCD4W8qog?pwd=dqeb
提取码: dqeb

1998_LeNet

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

2012_AlexNet

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

2013_11_ZfNet

标题：Visualizing and Understanding Convolutional Networks
作者：Matthew D. Zeiler，Rob Fergus

2014_GoogLeNet

2014_09_GoogLeNet_V1

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

2015_03_GoogLeNet_V2

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

2015_12_GoogLeNet_V3

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

2016_08_GoogLeNet_V4

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

2015_04_VGG

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

2015_12_ResNet

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

2016_11_SqueezeNet

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

Attention

2017_SENet

标题：Squeeze-and-Excitation Networks
作者：Jie Hu，Li Shen，Samuel Albanie，Gang Sun，Enhua Wu
（正式出版于2019年5月）

2018_CBAM

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

2017_MobileNet

2017_04_MobileNetV1

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

2019_03_MobileNetV2

标题：MobileNetV2: Inverted Residuals and Linear Bottlenecks
作者：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

2017_08_DPNet

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

2017_11_CapsNet

标题：Dynamic Routing Between Capsules
作者：Sara Sabour，Nicholas Frosst

2017_ShuffleNet

2017_12_ShuffleNetV1

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

2018_04_ShuffleNetV2

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

2018_01_DenseNet

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

2019_11_EfficientNet

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

2021_Transformer

2021_06_ViT

标题：AN IMAGE IS WORTH 16X16 WORDS: TRANSFORMERS FOR IMAGE RECOGNITION AT SCALE
作者：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

标题：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

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