contributor: datamonday
githubrepo: https://github.com/datamonday/CV-Baseline-Papers
| 模型(Model) | 论文名称(Paper) | 年份(Year) | 被引(cited) | 作者(Author) | 所属类别(Type) | 官方代码(Code) | 个人代码(Practice) |
|---|---|---|---|---|---|---|---|
| AlexNet | ImageNet Classification with Deep Convolutional Neural Networks | 2012 | 67950(20/08/20) | Alex Krizhevsky,Ilya Sutskever,Geoffrey E. Hinton | Classification | ||
| ZFNet | Visualizing and Understanding Convolutional Networks | 2013 | 9898(20/08/2020) | Matthew D. Zeiler,Rob Fergus | Classification | ||
| VGGNet | VERY DEEP CONVOLUTIONAL NETWORKS FOR LARGE-SCALE IMAGE RECOGNITION | 2014 | 42645(20/08/2020) | Karen Simonyan,Andrew Zisserman+ | Classification | ||
| GoogLeNet | Going deeper with convolutions | 2014 | 23544(20/08/2020) | Christian Szegedy,Wei Liu,Yangqing Jia,et.al | Classification | ||
| Inception v2 | Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift | 2015 | 20238(21/08/2020) | Sergey Ioffe,Christian Szegedy | BN | ||
| Inception v3 | Rethinking the Inception Architecture for Computer Vision | 2015 | 9190(21/08/2020) | Christian Szegedy,Vincent Vanhoucke,Sergey Ioffe,et.al | |||
| Inception v4 | Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning | 2016 | 5227(21/08/2020) | Christian Szegedy,Sergey Ioffe,Vincent Vanhoucke | |||
| ResNet | Deep Residual Learning for Image Recognition | 2015 | 52996(25/08/2020) | Kaiming He,Xiangyu Zhang,Shaoqing Ren,Jian Sun | Classification,Object Detection | ||
| ResNeXt | Aggregated Residual Transformations for Deep Neural Networks | 2017 | 2715(27/08/2020) | Saining Xie,Ross Girshick,et.al | Classification,Object Detection | ||
| DenseNet | Densely Connected Convolutional Networks | 2017 | 10699(27/08/2020) | Gao Huang*,Zhuang Liu*,et.al | Classification,Object Detection | ||
| SENet | Squeeze-and-Excitation Networks | 2017 | 3667(27/08/2020) | Jie Hu,Li Shen,et.al | Classification,Object Detection |
| 模型(Model) | 论文名称(Paper) | 年份(Year) | 被引(cited) | 作者(Author) | 所属类别(Type) | 官方代码(Code) | 个人代码(Practice) |
|---|---|---|---|---|---|---|---|
| Highway | Highway Networks | 2015 | 1280(10/09/2020) | Rupesh Kumar Srivastava,Klaus Greff,J¨urgen Schmidhuber | |||
| PReLU | Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification | 2015 | 9108(10/09/2020) | Kaiming He,Xiangyu Zhang,Shaoqing Ren,Jian Sun |
| 模型(Model) | 论文名称(Paper) | 年份(Year) | 被引(cited) | 作者(Author) | 所属类别(Type) | 官方代码(Code) | 个人代码(Practice) |
|---|---|---|---|---|---|---|---|
| Selective Search | Selective Search for Object Recognition | 2013 | 4498(07/09/2020) | J.R.R. Uijlings,et.al | |||
| OverFeat | OverFeat:Integrated Recognition, Localization and Detection using Convolutional Networks | 2014 | 4061(06/09/2020) | Pierre Sermanet,David Eigen,et.al | |||
| R-CNN | Rich feature hierarchies for accurate object detection and semantic segmentation | 2014 | 14188(06/09/2020) | Ross Girshick,Jeff Donahue,et.al | |||
| SPPNet | Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition | 2014 | 4740(09/09/2020) | Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun | |||
| Fast R-CNN | Fast R-CNN | 2015 | 10839(08/09/2020) | Ross Girshick | |||
| Faster R-CNN | Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks | 2016 | 20864(08/09/2020) | Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun | |||
| YOLO v1 | You Only Look Once: Unified, Real-Time Object Detection | 2015 | 10906(11/09/2020) | Joseph Redmon, Santosh Divvalay, Ross Girshick, Ali Farhadiy | |||
| SSD | SSD: Single Shot MultiBox Detector | 2015 | 10131(11/09/2020) | Wei Liu, Dragomir Anguelov,et.al |
| 模型(Model) | 论文名称(Paper) | 年份(Year) | 被引(cited) | 作者(Author) | 所属类别(Type) | 官方代码(Code) | 个人代码(Practice) |
|---|---|---|---|---|---|---|---|
| FCN | Fully Convolutional Networks for Semantic Segmentation | 2014 | 14541(06/09/2020) | Jonathan Long*,Evan Shelhamer*,Trevor Darrell | |||
| U-Net | U-Net: Convolutional Networks for Biomedical Image Segmentation | 2015 | 12052(08/03/2020) | Olaf Ronneberger, Philipp Fischer, and Thomas Brox |
| 模型(Model) | 论文名称(Paper) | 年份(Year) | 被引(cited) | 作者(Author) | 所属类别(Type) | 官方代码(Code) | 个人代码(Practice) |
|---|---|---|---|---|---|---|---|
| GAN | Generative Adversarial Networks | 2014 | 30182(05/07/2021) | Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza. et.al |
| 模型(Model) | 论文名称(Paper) | 年份(Year) | 被引(cited) | 作者(Author) | 所属类别(Type) | 官方代码(Code) | 个人代码(Practice) |
|---|---|---|---|---|---|---|---|
| 模型(Model) | 论文名称(Paper) | 年份(Year) | 被引(cited) | 作者(Author) | 所属类别(Type) | 官方代码(Code) | 个人代码(Practice) |
|---|---|---|---|---|---|---|---|
| SqueezeNet | SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size | 2016 | 3862(05/07/2021) | Forrest N. Iandola, Song Han. et.al | |||
| MobileNet | MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications | 2017 | 8124(05/07/2021) | Andrew G. Howard, Menglong Zhu. et.al | |||
| ShuffleNet | ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices | 2017 | 2430(05/07/2021) | Xiangyu Zhang, Xinyu Zhou, Mengxiao Lin, Jian Sun | |||
| Xception | Xception: Deep Learning with Depthwise Separable Convolutions | 2016 | 5016(05/07/2021) | François Chollet |
| 模型(Model) | 论文名称(Paper) | 年份(Year) | 被引(cited) | 作者(Author) | 所属类别(Type) | 官方代码(Code) | 个人代码(Practice) |
|---|---|---|---|---|---|---|---|
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