Xception: Deep Learning with Depthwise Separable Convolutions

7 October 2016

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

29 / 2,479 papers shown

Title
HENet:A Highly Efficient Convolutional Neural Networks Optimized for Accuracy, Speed and Storage Qiuyu Zhu Ruixin Zhang 3DH 28 5 0 07 Mar 2018
The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches Md. Zahangir Alom T. Taha C. Yakopcic Stefan Westberg P. Sidike Mst Shamima Nasrin B. Van Essen A. Awwal V. Asari VLM 29 875 0 03 Mar 2018
CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes Yuhong Li Xiaofan Zhang Deming Chen 86 1,324 0 27 Feb 2018
Demystifying Parallel and Distributed Deep Learning: An In-Depth Concurrency Analysis Tal Ben-Nun Torsten Hoefler GNN 33 704 0 26 Feb 2018
FD-MobileNet: Improved MobileNet with a Fast Downsampling Strategy Zheng Qin Zhaoning Zhang Xiaotao Chen Yuxing Peng MQ 29 104 0 11 Feb 2018
Hydra: an Ensemble of Convolutional Neural Networks for Geospatial Land Classification Rodrigo Minetto Maurício Pamplona Segundo Sudeep Sarkar 42 132 0 10 Feb 2018
AMC: AutoML for Model Compression and Acceleration on Mobile Devices Yihui He Ji Lin Zhijian Liu Hanrui Wang Li-Jia Li Song Han 35 1,343 0 10 Feb 2018
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation Liang-Chieh Chen Yukun Zhu George Papandreou Florian Schroff Hartwig Adam SSeg 34 12,927 0 07 Feb 2018
Recovering from Random Pruning: On the Plasticity of Deep Convolutional Neural Networks Deepak Mittal S. Bhardwaj Mitesh M. Khapra Balaraman Ravindran VLM 36 65 0 31 Jan 2018
Generative Adversarial Networks using Adaptive Convolution Nhat M. Nguyen Nilanjan Ray GAN 15 1 0 25 Jan 2018
Effective Building Block Design for Deep Convolutional Neural Networks using Search Jayanta K. Dutta Jiayi Liu Unmesh Kurup Mohak Shah 3DV 32 11 0 25 Jan 2018
$PointCNN: Convolution On $\mathcal{X}$-Transformed Points$ PointCNN: Convolution On $\mathcal{X}$ -Transformed Points Yangyan Li Rui Bu Mingchao Sun Wei Wu Xinhan Di Baoquan Chen 3DPC 149 2,423 0 23 Jan 2018
Attenuation correction for brain PET imaging using deep neural network based on dixon and ZTE MR images Kuang Gong Jaewon Yang Kyungsang Kim Xiaofeng Liu Youngho Seo Quanzheng Li 36 95 0 17 Dec 2017
Rethinking Spatiotemporal Feature Learning: Speed-Accuracy Trade-offs in Video Classification Saining Xie Chen Sun Jonathan Huang Zhuowen Tu Kevin Patrick Murphy 3DH 52 1,309 0 13 Dec 2017
Deep Expander Networks: Efficient Deep Networks from Graph Theory Ameya Prabhu G. Varma A. Namboodiri GNN 30 71 0 23 Nov 2017
Integral Human Pose Regression Xiao Sun Bin Xiao Fangyin Wei Shuang Liang Yichen Wei 3DH 44 803 0 22 Nov 2017
Moonshine: Distilling with Cheap Convolutions Elliot J. Crowley Gavia Gray Amos Storkey 33 120 0 07 Nov 2017
Towards Effective Low-bitwidth Convolutional Neural Networks Bohan Zhuang Chunhua Shen Mingkui Tan Lingqiao Liu Ian Reid MQ 39 232 0 01 Nov 2017
Wide and deep volumetric residual networks for volumetric image classification Varun Arvind A. Costa Marcus A. Badgeley Samuel K. Cho Eric Oermann 3DPC MedIm 49 15 0 18 Sep 2017
Squeeze-and-Excitation Networks Jie Hu Li Shen Samuel Albanie Gang Sun Enhua Wu 114 26,062 0 05 Sep 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 18 48 0 12 Aug 2017
Channel Pruning for Accelerating Very Deep Neural Networks Yihui He Xiangyu Zhang Jian Sun 113 2,508 0 19 Jul 2017
Interleaved Group Convolutions for Deep Neural Networks Ting Zhang Guo-Jun Qi Bin Xiao Jingdong Wang 36 81 0 10 Jul 2017
Deep Semantic Segmentation for Automated Driving: Taxonomy, Roadmap and Challenges Mennatullah Siam Sara Elkerdawy Martin Jägersand S. Yogamani 124 166 0 08 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 55 1,053 0 26 Jun 2017
GM-Net: Learning Features with More Efficiency Yujia Chen Ce Li 27 6 0 21 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 30 333 0 16 Jun 2017
Depthwise Separable Convolutions for Neural Machine Translation Lukasz Kaiser Aidan Gomez François Chollet 41 278 0 09 Jun 2017
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 124 43,050 0 11 Feb 2015