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. 12 Nov 2013.ZF-Net.Matthew D Zeiler, Rob Fergus

    Visualizing and Understanding Convolutional Networks


  5. 16 Dec 2013.NIN.ICLR 2014.Min Lin, Qiang Chen, Shuicheng Yan

    Network In Network

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


  6. 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


  7. 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


  8. 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


  9. 4 Sep 2014.VGG.Karen Simonyan, Andrew Zisserman

    Very Deep Convolutional Networks for Large-Scale Image Recognition

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


  10. 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


  11. 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


  12. 22 Dec 2014.DeepLab v1/Atrous Conv.ICLR 2015.Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos, Kevin Murphy, Alan L. Yuille

    Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs


  13. 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


  14. 30 Apr 2015.Fast RCNN.ICCV 2015.Ross Girshick

    Fast R-CNN

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


  15. 7 May 2015.MR-CNN.ICCV 2015.Spyros Gidaris, Nikos Komodakis

    Object detection via a multi-region & semantic segmentation-aware CNN model


  16. 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


  17. 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


  18. 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


  19. 2 Nov 2015.SegNet.Vijay Badrinarayanan, Alex Kendall, Roberto Cipolla

    SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation


  20. 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


  21. 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


  22. 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


  23. 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


  24. 24 Dec 2015.G-CNN.CVPR 2016.Mahyar Najibi, Mohammad Rastegari, Larry S. Davis

    G-CNN: an Iterative Grid Based Object Detector


  25. 30 Jan 2016.CPM.Shih-En Wei, Varun Ramakrishna, Takeo Kanade, Yaser Sheikh

    Convolutional Pose Machines


  26. 2 Jun 2016.DeepLab v2.TPAMI 2017.Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos, Kevin Murphy, Alan L. Yuille

    DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs


  27. 23 Feb 2016.Inception-v4 Inception-ResNet.Christian Szegedy, Sergey Ioffe, Vincent Vanhoucke

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


  28. 16 Mar 2016.ResNet v2.ECCV 2016.Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun

    Identity Mappings in Deep Residual Networks


  29. 22 Mar 2016.Hourglass.Alejandro Newell, Kaiyu Yang, Jia Deng

    Stacked Hourglass Networks for Human Pose Estimation


  30. 3 Apr 2016.HyperNet.CVPR 2016.Tao Kong, Anbang Yao, Yurong Chen, Fuchun Sun

    HyperNet: Towards Accurate Region Proposal Generation and Joint Object Detection


  31. 12 Apr 2016.CRAFT.CVPR 2016.Bin Yang, Junjie Yan, Zhen Lei, Stan Z. Li

    CRAFT Objects from Images


  32. 20 May 2016.R-FCN.Jifeng Dai, Yi Li, Kaiming He, Jian Sun

    R-FCN: Object Detection via Region-based Fully Convolutional Networks


  33. 23 May 2016.WRNs.Sergey Zagoruyko, Nikos Komodakis

    Wide Residual Networks


  34. 15 Jun 2016.V-Net.Fausto Milletari, Nassir Navab, Seyed-Ahmad Ahmadi

    V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation


  35. 25 Jul 2016.MS-CNN.Zhaowei Cai, Quanfu Fan, Rogerio S. Feris, Nuno Vasconcelos

    A Unified Multi-scale Deep Convolutional Neural Network for Fast Object Detection


  36. 25 Aug 2016.DenseNet.CVPR 2017.Gao Huang, Zhuang Liu, Laurens van der Maaten, Kilian Q. Weinberger

    Densely Connected Convolutional Networks


  37. 7 Oct 2016.Xception.François Chollet

    Xception: Deep Learning with Depthwise Separable Convolutions


  38. 16 Nov 2016.ResNeXt.CVPR 2017.Saining Xie, Ross Girshick, Piotr Dollár, Zhuowen Tu, Kaiming He

    Aggregated Residual Transformations for Deep Neural Networks


  39. 23 Nov 2016.PVANet.NIPS 2016.Sanghoon Hong, Byungseok Roh, Kye-Hyeon Kim, Yeongjae Cheon, Minje Park

    PVANet: Lightweight Deep Neural Networks for Real-time Object Detection


  40. 1 Dec 2016.RMPE.Haoshu Fang, Shuqin Xie, Cewu Lu

    RMPE: Regional Multi-person Pose Estimation


  41. 4 Dec 2016.PSP.CVPR 2017.Hengshuang Zhao, Jianping Shi, Xiaojuan Qi, Xiaogang Wang, Jiaya Jia

    Pyramid Scene Parsing Network


  42. 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


  43. 25 Dec 2016.Yolo v2.Joseph Redmon, Ali Farhadi

    YOLO9000: Better, Faster, Stronger


  44. 23 Jan 2017.DSSD.Cheng-Yang Fu, Wei Liu, Ananth Ranga, Ambrish Tyagi, Alexander C. Berg

    DSSD : Deconvolutional Single Shot Detector


  45. 17 Mar 2017.Deformable CNN.Jifeng Dai, Haozhi Qi, Yuwen Xiong, Yi Li, Guodong Zhang, Han Hu, Yichen Wei

    Deformable Convolutional Networks


  46. 20 Mar 2017.Mask RCNN.Kaiming He, Georgia Gkioxari, Piotr Dollár, Ross Girshick

    Mask R-CNN


  47. 11 Apr 2017.A-Fast-RCNN.Xiaolong Wang, Abhinav Shrivastava, Abhinav Gupta

    A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection


  48. 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


  49. 26 May 2017.R-SSD.Jisoo Jeong, Hyojin Park, Nojun Kwak

    Enhancement of SSD by concatenating feature maps for object detection


  50. 17 Jun 2017.DeepLab v3.Liang-Chieh Chen, George Papandreou, Florian Schroff, Hartwig Adam

    Rethinking Atrous Convolution for Semantic Image Segmentation


  51. 6 Jul 2017.DPN.Yunpeng Chen, Jianan Li, Huaxin Xiao, Xiaojie Jin, Shuicheng Yan, Jiashi Feng

    Dual Path Networks


  52. 6 Jul 2017.RON.CVPR 2017.Tao Kong, Fuchun Sun, Anbang Yao, Huaping Liu, Ming Lu, Yurong Chen

    RON: Reverse Connection with Objectness Prior Networks for Object Detection


  53. 3 Aug 2017.DSOD.ICCV 2017.Zhiqiang Shen, Zhuang Liu, Jianguo Li, Yu-Gang Jiang, Yurong Chen, Xiangyang Xue

    DSOD: Learning Deeply Supervised Object Detectors from Scratch


  54. 7 Aug 2017.RetinaNet.Tsung-Yi Lin, Priya Goyal, Ross Girshick, Kaiming He, Piotr Dollár

    Focal Loss for Dense Object Detection


  55. 9 Aug 2017.CoupleNet.ICCV 2017.Yousong Zhu, Chaoyang Zhao, Jinqiao Wang, Xu Zhao, Yi Wu, Hanqing Lu

    CoupleNet: Coupling Global Structure with Local Parts for Object Detection


  56. 5 Sep 2017.SENet.CVPR 2018.Jie Hu, Li Shen, Samuel Albanie, Gang Sun, Enhua Wu

    Squeeze-and-Excitation Networks


  57. 20 Nov 2017.CPN.CVPR 2018.Yilun Chen, Zhicheng Wang, Yuxiang Peng, Zhiqiang Zhang, Gang Yu, Jian Sun

    Cascaded Pyramid Network for Multi-Person Pose Estimation


  58. 20 Nov 2017.Light-Head R-CNN.Zeming Li, Chao Peng, Gang Yu, Xiangyu Zhang, Yangdong Deng, Jian Sun

    Light-Head R-CNN: In Defense of Two-Stage Object Detector


  59. 21 Nov 2017.Non-local.CVPR 2018.Xiaolong Wang, Ross Girshick, Abhinav Gupta, Kaiming He

    Non-local Neural Networks


  60. 7 Feb 2018.DeepLab v3+.Liang-Chieh Chen, Yukun Zhu, George Papandreou, Florian Schroff, Hartwig Adam

    Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation


  61. 8 Apr 2018.Yolo v3.Joseph Redmon, Ali Farhadi

    YOLOv3: An Incremental Improvement


  62. 17 Apr 2018.Simple Baselines.ECCV 2018.Bin Xiao, Haiping Wu, Yichen Wei

    Simple Baselines for Human Pose Estimation and Tracking


  63. 24 Oct 2018.DSFD.CVPR 2019.Jian Li, Yabiao Wang, Changan Wang, Ying Tai, Jianjun Qian, Jian Yang, Chengjie Wang, Jilin Li, Feiyue Huang

    DSFD: Dual Shot Face Detector


  64. 2 Dec 2018.CrowdPose.CVPR 2018.Jiefeng Li, Can Wang, Hao Zhu, Yihuan Mao, Hao-Shu Fang, Cewu Lu

    CrowdPose: Efficient Crowded Scenes Pose Estimation and A New Benchmark


  65. 25 Feb 2019.HRnet.CVPR 2019.Ke Sun, Bin Xiao, Dong Liu, Jingdong Wang

    Deep High-Resolution Representation Learning for Human Pose Estimation


  66. 4 Apr 2019.YOLACT.ICCV 2019.Daniel Bolya, Chong Zhou, Fanyi Xiao, Yong Jae Lee

    YOLACT: Real-time Instance Segmentation


  67. 8 Apr 2019.FoveaBox.Tao Kong, Fuchun Sun, Huaping Liu, Yuning Jiang, Jianbo Shi

    FoveaBox: Beyond Anchor-based Object Detector


  68. 27 Aug 2019.Higher Hr.Bowen Cheng, Bin Xiao, Jingdong Wang, Honghui Shi, Thomas S. Huang, Lei Zhang

    Bottom-up Higher-Resolution Networks for Multi-Person Pose Estimation



[列表将持续更新]

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