2020论文计划

    今天是2020年的第一天，这里列出来我今年的CV论文阅读计划，也包括我前面读过的一些论文。

1. 15 Jan 2010.ReLU.Xavier Glorot,Antoine Bordes,Y. Bengio

   Deep Sparse Rectifier Neural Networks

   http://www.chenjianqu.com/show-63.html

   
   

2. Jan 2012.AlexNet.Alex Krizhevsky，I Sutskever，G Hinton

   ImageNet Classification with Deep Convolutional Neural Networks

   http://www.chenjianqu.com/show-56.html

   
   

3. 11 Nov 2013.RCNN.CVPR 2014.Ross Girshick, Jeff Donahue, Trevor Darrell, Jitendra Malik

   Rich feature hierarchies for accurate object detection and semantic segmentation

   http://www.chenjianqu.com/show-69.html

   
   

   
   

4. 16 Dec 2013.NIN.ICLR 2014.Min Lin, Qiang Chen, Shuicheng Yan

   Network In Network

   http://www.chenjianqu.com/show-65.html

   
   

5. 21 Dec 2013.OverFeat.Pierre Sermanet, David Eigen, Xiang Zhang, Michael Mathieu, Rob Fergus, Yann LeCun

   OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks

   http://www.chenjianqu.com/show-67.html

   
   

6. 10 Jun 2014.GAN.Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, Yoshua Bengio

   Generative Adversarial Networks

   http://www.chenjianqu.com/show-54.html

   
   

7. 18 Jun 2014.SPP.Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun

   Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition

   http://www.chenjianqu.com/show-74.html

   
   

8. 4 Sep 2014.VGG.Karen Simonyan, Andrew Zisserman

   Very Deep Convolutional Networks for Large-Scale Image Recognition

   http://www.chenjianqu.com/show-57.html

   
   

9. 17 Sep 2014.GoogLeNet.Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, Andrew Rabinovich

   Going Deeper with Convolutions

   http://www.chenjianqu.com/show-58.html

   
   

10. 14 Nov 2014.FCN.CVPR 2015.Jonathan Long, Evan Shelhamer, Trevor Darrell

    Fully Convolutional Networks for Semantic Segmentation

    http://www.chenjianqu.com/show-81.html
    

    
    

    
    

11. 11 Feb 2015.BN.Sergey Ioffe, Christian Szegedy

    Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

    http://www.chenjianqu.com/show-70.html

    
    

12. 30 Apr 2015.Fast RCNN.ICCV 2015.Ross Girshick

    Fast R-CNN

    http://www.chenjianqu.com/show-75.html

    
    

13. 18 May 2015.U-Net.MICCAI 2015.Olaf Ronneberger, Philipp Fischer, Thomas Brox

    U-Net: Convolutional Networks for Biomedical Image Segmentation

    http://www.chenjianqu.com/show-84.html
    

    
    

14. 4 Jun 2015.Faster RCNN.Shaoqing Ren, Kaiming He, Ross Girshick, Jian Sun

    Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

    http://www.chenjianqu.com/show-76.html

    
    

15. 8 Jun 2015.Yolo v1.Joseph Redmon, Santosh Divvala, Ross Girshick, Ali Farhadi

    You Only Look Once: Unified, Real-Time Object Detection.

    http://www.chenjianqu.com/show-77.html
    

    
    

    
    

16. 19 Nov 2015.DCGAN.ICLR 2016.Alec Radford, Luke Metz, Soumith Chintala

    Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

    http://www.chenjianqu.com/show-55.html
    

    
    

17. 2 Dec 2015.Inception v2/v3.Christian Szegedy, Vincent Vanhoucke, Sergey Ioffe, Jonathon Shlens, Zbigniew Wojna

    Rethinking the Inception Architecture for Computer Vision

    http://www.chenjianqu.com/show-71.html

    
    

18. 8 Dec 2015.SSD.ECCV 2016.Wei Liu, Dragomir Anguelov, Dumitru Erhan, Christian Szegedy, Scott Reed, Cheng-Yang Fu, Alexander C. Berg

    SSD: Single Shot MultiBox Detector

    http://www.chenjianqu.com/show-90.html
    

    
    

19. 10 Dec 2015.ResNet.Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun

    Deep Residual Learning for Image Recognition

    http://www.chenjianqu.com/show-59.html

    
    

20. Feb 2016.Inception-v4 Inception-ResNet.Christian Szegedy, Sergey Ioffe, Vincent Vanhoucke

    Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning

    http://www.chenjianqu.com/show-129.html
    

    
    

21. 25 Aug 2016.DenseNet.CVPR 2017.Gao Huang, Zhuang Liu, Laurens van der Maaten, Kilian Q. Weinberger

    Densely Connected Convolutional Networks

    http://www.chenjianqu.com/show-130.html
    

    
    

22. 7 Oct 2016.Xception.François Chollet

    Xception: Deep Learning with Depthwise Separable Convolutions

    http://www.chenjianqu.com/show-128.html
    

    
    

    
    

23. 9 Dec 2016.FPN.CVPR 2017.Tsung-Yi Lin, Piotr Dollár, Ross Girshick, Kaiming He, Bharath Hariharan, Serge Belongie

    Feature Pyramid Networks for Object Detection

    http://www.chenjianqu.com/show-110.html
    

    
    

24. 25 Dec 2016.Yolo v2.Joseph Redmon, Ali Farhadi

    YOLO9000: Better, Faster, Stronger

    http://www.chenjianqu.com/show-116.html
    

    
    

25. 17 Mar 2017.Deformable CNN.Jifeng Dai, Haozhi Qi, Yuwen Xiong, Yi Li, Guodong Zhang, Han Hu, Yichen Wei

    Deformable Convolutional Networks

    http://www.chenjianqu.com/show-114.html
    

    
    

26. 20 Mar 2017.Mask RCNN.Kaiming He, Georgia Gkioxari, Piotr Dollár, Ross Girshick

    Mask R-CNN

    http://www.chenjianqu.com/show-111.html

    
    

    
    

27. 17 Apr 2017.MobileNet.Andrew G. Howard, Menglong Zhu, Bo Chen, Dmitry Kalenichenko, Weijun Wang, Tobias Weyand, Marco Andreetto, Hartwig Adam

    MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

    http://www.chenjianqu.com/show-127.html

    
    

28. 7 Aug 2017.RetinaNet.Tsung-Yi Lin, Priya Goyal, Ross Girshick, Kaiming He, Piotr Dollár

    Focal Loss for Dense Object Detection

    http://www.chenjianqu.com/show-124.html
    

    
    

    
    

29. 3 Jan 2018.PS.Alexander Kirillov, Kaiming He, Ross Girshick, Carsten Rother, Piotr Dollár

    Panoptic Segmentation

    http://www.chenjianqu.com/show-113.html
    

    
    

    
    

30. 5 Mar 2018.PANet.Shu Liu, Lu Qi, Haifang Qin, Jianping Shi, Jiaya Jia

    Path Aggregation Network for Instance Segmentation

    http://www.chenjianqu.com/show-133.html
    

    
    

31. 8 Apr 2018.Yolo v3.Joseph Redmon, Ali Farhadi

    YOLOv3: An Incremental Improvement

    http://www.chenjianqu.com/show-117.html
    

    
    

    
    

32. 17 Jul 2018.CBAM.Sanghyun Woo, Jongchan Park, Joon-Young Lee, In So Kweon

    CBAM: Convolutional Block Attention Module

    http://www.chenjianqu.com/show-135.html
    

    
    

    
    

33. 12 Jan 2019.UPSNet.CVPR 2019.Yuwen Xiong, Renjie Liao, Hengshuang Zhao, Rui Hu, Min Bai, Ersin Yumer, Raquel Urtasun

    UPSNet: A Unified Panoptic Segmentation Network

    http://www.chenjianqu.com/show-115.html 
    

    
    

    
    

    
    

34. 4 Apr 2019.YOLACT.ICCV 2019.Daniel Bolya, Chong Zhou, Fanyi Xiao, Yong Jae Lee

    YOLACT: Real-time Instance Segmentation

    http://www.chenjianqu.com/show-121.html
    

    
    

    
    

35. 27 Nov 2019.CSPNet.Chien-Yao Wang, Hong-Yuan Mark Liao, I-Hau Yeh, Yueh-Hua Wu, Ping-Yang Chen, Jun-Wei Hsieh

    CSPNet: A New Backbone that can Enhance Learning Capability of CNN

    http://www.chenjianqu.com/show-134.html
    

    
    

    
    

36. 10 Dec 2019.SOLO.inlong Wang,Tao Kong,Chunhua Shen1,Yuning Jiang,Lei Li.
    

    SOLO: Segmenting Objects by Locations

    http://www.chenjianqu.com/show-123.html

    
    

37. 13 Feb 2020.CBN.Zhuliang Yao, Yue Cao, Shuxin Zheng, Gao Huang, Stephen Lin

    Cross-Iteration Batch Normalization

    http://www.chenjianqu.com/show-136.html
    

    
    

    
    

38. 23 Apr 2020.YOLOv4.Alexey Bochkovskiy, Chien-Yao Wang, Hong-Yuan Mark Liao

    YOLOv4: Optimal Speed and Accuracy of Object Detection

    http://www.chenjianqu.com/show-138.html 

    
    

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