ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design

30 July 2018

Xiangyu Zhang

Papers citing "ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design"

24 / 74 papers shown

Title
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 1.1K 20,813 0 17 Apr 2017
Large Kernel Matters -- Improve Semantic Segmentation by Global Convolutional Network Chao Peng Xiangyu Zhang Gang Yu G. Luo Jian Sun VLM SSeg 100 1,489 0 08 Mar 2017
Genetic CNN Lingxi Xie Alan Yuille 3DV 121 842 0 04 Mar 2017
Large-Scale Evolution of Image Classifiers Esteban Real Sherry Moore Andrew Selle Saurabh Saxena Y. Suematsu Jie Tan Quoc V. Le Alexey Kurakin 120 1,637 0 03 Mar 2017
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Zhuowen Tu Kaiming He 499 10,318 0 16 Nov 2016
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 443 5,367 0 05 Nov 2016
Xception: Deep Learning with Depthwise Separable Convolutions François Chollet MDE BDL PINN 1.4K 14,543 0 07 Oct 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 733 36,781 0 25 Aug 2016
Learning Structured Sparsity in Deep Neural Networks W. Wen Chunpeng Wu Yandan Wang Yiran Chen Hai Helen Li 172 2,337 0 12 Aug 2016
Deep Roots: Improving CNN Efficiency with Hierarchical Filter Groups Yani Andrew Ioannou D. Robertson R. Cipolla A. Criminisi 72 264 0 20 May 2016
Identity Mappings in Deep Residual Networks Kaiming He Xinming Zhang Shaoqing Ren Jian Sun 348 10,180 0 16 Mar 2016
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning Christian Szegedy Sergey Ioffe Vincent Vanhoucke Alexander A. Alemi 371 14,244 0 23 Feb 2016
Distributed Deep Learning Using Synchronous Stochastic Gradient Descent Dipankar Das Sasikanth Avancha Dheevatsa Mudigere K. Vaidyanathan Srinivas Sridharan Dhiraj D. Kalamkar Bharat Kaul Pradeep Dubey GNN 53 170 0 22 Feb 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.1K 193,814 0 10 Dec 2015
Rethinking the Inception Architecture for Computer Vision Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jonathon Shlens Z. Wojna 3DV BDL 855 27,350 0 02 Dec 2015
Accelerating Very Deep Convolutional Networks for Classification and Detection Xinming Zhang Jianhua Zou Kaiming He Jian Sun 67 796 0 26 May 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 441 43,277 0 11 Feb 2015
Efficient and Accurate Approximations of Nonlinear Convolutional Networks Xinming Zhang Jianhua Zou Xiang Ming Kaiming He Jian Sun 3DV 69 263 0 16 Nov 2014
cuDNN: Efficient Primitives for Deep Learning Sharan Chetlur Cliff Woolley Philippe Vandermersch Jonathan M. Cohen J. Tran Bryan Catanzaro Evan Shelhamer 125 1,846 0 03 Oct 2014
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 424 43,635 0 17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.6K 100,330 0 04 Sep 2014
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.6K 39,509 0 01 Sep 2014
Speeding up Convolutional Neural Networks with Low Rank Expansions Max Jaderberg Andrea Vedaldi Andrew Zisserman 128 1,463 0 15 May 2014
Microsoft COCO: Common Objects in Context Nayeon Lee Michael Maire Serge J. Belongie Lubomir Bourdev Ross B. Girshick James Hays Pietro Perona Deva Ramanan C. L. Zitnick Piotr Dollár ObjD 389 43,619 0 01 May 2014