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Xception: Deep Learning with Depthwise Separable Convolutions

7 October 2016

Papers citing "Xception: Deep Learning with Depthwise Separable Convolutions"

41 / 2,941 papers shown

Title
Cascade and Parallel Convolutional Recurrent Neural Networks on EEG-based Intention Recognition for Brain Computer Interface Dalin Zhang Lina Yao Xiang Zhang Sen Wang Weitong Chen R. Boots 72 178 0 22 Aug 2017
Practical Block-wise Neural Network Architecture Generation Zhaobai Zhong Junjie Yan Wei Wu Jing Shao Cheng-Lin Liu 98 126 0 18 Aug 2017
Revisiting the Effectiveness of Off-the-shelf Temporal Modeling Approaches for Large-scale Video Classification Yunlong Bian Chuang Gan Xiao-Chang Liu Fu Li Xiang Long Yandong Li Heng Qi Jie Zhou Shilei Wen Yuanqing Lin 92 48 0 12 Aug 2017
An Empirical Study on Writer Identification & Verification from Intra-variable Individual Handwriting Chandranath Adak B. B. Chaudhuri Michael Blumenstein 30 35 0 10 Aug 2017
Learning Transferable Architectures for Scalable Image Recognition Barret Zoph Vijay Vasudevan Jonathon Shlens Quoc V. Le 330 5,623 0 21 Jul 2017
Channel Pruning for Accelerating Very Deep Neural Networks Yihui He Xiangyu Zhang Jian Sun 383 2,541 0 19 Jul 2017
The Devil is in the Decoder: Classification, Regression and GANs Z. Wojna V. Ferrari S. Guadarrama N. Silberman Liang-Chieh Chen Alireza Fathi J. Uijlings 77 93 0 18 Jul 2017
The Reversible Residual Network: Backpropagation Without Storing Activations Aidan Gomez Mengye Ren R. Urtasun Roger C. Grosse 109 553 0 14 Jul 2017
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era Chen Sun Abhinav Shrivastava Saurabh Singh Abhinav Gupta VLM 221 2,418 0 10 Jul 2017
Interleaved Group Convolutions for Deep Neural Networks Ting Zhang Guo-Jun Qi Bin Xiao Jingdong Wang 136 82 0 10 Jul 2017
Deep Semantic Segmentation for Automated Driving: Taxonomy, Roadmap and Challenges Mennatullah Siam Sara Elkerdawy Martin Jägersand S. Yogamani 172 167 0 08 Jul 2017
CNN features are also great at unsupervised classification Joris Guérin O. Gibaru Stéphane Thiery E. Nyiri OOD SSL 88 76 0 06 Jul 2017
ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices Xiangyu Zhang Xinyu Zhou Mengxiao Lin Jian Sun AI4TS 409 6,929 0 04 Jul 2017
SchNet: A continuous-filter convolutional neural network for modeling quantum interactions Kristof T. Schütt Pieter-Jan Kindermans Huziel Enoc Sauceda Felix Stefan Chmiela A. Tkatchenko K. Müller 186 1,088 0 26 Jun 2017
GM-Net: Learning Features with More Efficiency Yujia Chen Ce Li 44 6 0 21 Jun 2017
Rethinking Atrous Convolution for Semantic Image Segmentation Liang-Chieh Chen George Papandreou Florian Schroff Hartwig Adam SSeg 331 8,531 0 17 Jun 2017
One Model To Learn Them All Lukasz Kaiser Aidan Gomez Noam M. Shazeer Ashish Vaswani Niki Parmar Llion Jones Jakob Uszkoreit VLM ViT 92 334 0 16 Jun 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 1.1K 133,599 0 12 Jun 2017
Depthwise Separable Convolutions for Neural Machine Translation Lukasz Kaiser Aidan Gomez François Chollet 88 279 0 09 Jun 2017
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 1.2K 20,998 0 17 Apr 2017
Factorization tricks for LSTM networks Oleksii Kuchaiev Boris Ginsburg 104 113 0 31 Mar 2017
Efficient Processing of Deep Neural Networks: A Tutorial and Survey Vivienne Sze Yu-hsin Chen Tien-Ju Yang J. Emer AAML 3DV 132 3,039 0 27 Mar 2017
Learning Chained Deep Features and Classifiers for Cascade in Object Detection Wanli Ouyang Kun Wang Xin Zhu Xiaogang Wang ObjD 57 19 0 23 Feb 2017
Understanding trained CNNs by indexing neuron selectivity Ivet Rafegas M. Vanrell Luís A. Alexandre Guillem Arias FAtt 96 41 0 01 Feb 2017
QuickNet: Maximizing Efficiency and Efficacy in Deep Architectures Tapabrata Ghosh 46 6 0 09 Jan 2017
EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces Vernon J. Lawhern Amelia J. Solon Nicholas R. Waytowich Stephen M. Gordon C. Hung Brent Lance OOD 252 2,945 0 23 Nov 2016
Deep Convolutional Neural Networks with Merge-and-Run Mappings Liming Zhao Jingdong Wang Xi Li Zhuowen Tu Yueting Zhuang MoMe 125 68 0 23 Nov 2016
DelugeNets: Deep Networks with Efficient and Flexible Cross-layer Information Inflows Jason Kuen Xiangfei Kong G. Wang Yap-Peng Tan 70 14 0 17 Nov 2016
Design of Efficient Convolutional Layers using Single Intra-channel Convolution, Topological Subdivisioning and Spatial "Bottleneck" Structure Min Wang Baoyuan Liu H. Foroosh 66 51 0 15 Aug 2016
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning Christian Szegedy Sergey Ioffe Vincent Vanhoucke Alexander A. Alemi 398 14,324 0 23 Feb 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.8K 195,310 0 10 Dec 2015
Rethinking the Inception Architecture for Computer Vision Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jonathon Shlens Z. Wojna 3DV BDL 1.4K 27,513 0 02 Dec 2015
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs) Djork-Arné Clevert Thomas Unterthiner Sepp Hochreiter 321 5,546 0 23 Nov 2015
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 387 19,824 0 09 Mar 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 1.0K 43,420 0 11 Feb 2015
Flattened Convolutional Neural Networks for Feedforward Acceleration Jonghoon Jin Aysegül Dündar Eugenio Culurciello 109 249 0 17 Dec 2014
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 609 43,806 0 17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 2.1K 100,836 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 1.8K 39,737 0 01 Sep 2014
Network In Network Min Lin Qiang Chen Shuicheng Yan 338 6,296 0 16 Dec 2013
Visualizing and Understanding Convolutional Networks Matthew D. Zeiler Rob Fergus FAtt SSL 656 15,935 0 12 Nov 2013