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Xception: Deep Learning with Depthwise Separable Convolutions

Xception: Deep Learning with Depthwise Separable Convolutions

7 October 2016
François Chollet
    MDE
    BDL
    PINN
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Papers citing "Xception: Deep Learning with Depthwise Separable Convolutions"

14 / 2,564 papers shown
Title
Squeeze-and-Excitation Networks
Squeeze-and-Excitation Networks
Jie Hu
Li Shen
Samuel Albanie
Gang Sun
Enhua Wu
197
26,140
0
05 Sep 2017
Revisiting the Effectiveness of Off-the-shelf Temporal Modeling
  Approaches for Large-scale Video Classification
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
An Empirical Study on Writer Identification & Verification from
  Intra-variable Individual Handwriting
An Empirical Study on Writer Identification & Verification from Intra-variable Individual Handwriting
Chandranath Adak
B. B. Chaudhuri
Michael Blumenstein
14
34
0
10 Aug 2017
Channel Pruning for Accelerating Very Deep Neural Networks
Channel Pruning for Accelerating Very Deep Neural Networks
Yihui He
Xiangyu Zhang
Jian Sun
153
2,511
0
19 Jul 2017
Interleaved Group Convolutions for Deep Neural Networks
Interleaved Group Convolutions for Deep Neural Networks
Ting Zhang
Guo-Jun Qi
Bin Xiao
Jingdong Wang
53
81
0
10 Jul 2017
Deep Semantic Segmentation for Automated Driving: Taxonomy, Roadmap and
  Challenges
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
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
57
1,060
0
26 Jun 2017
GM-Net: Learning Features with More Efficiency
GM-Net: Learning Features with More Efficiency
Yujia Chen
Ce Li
32
6
0
21 Jun 2017
Rethinking Atrous Convolution for Semantic Image Segmentation
Rethinking Atrous Convolution for Semantic Image Segmentation
Liang-Chieh Chen
George Papandreou
Florian Schroff
Hartwig Adam
SSeg
108
8,402
0
17 Jun 2017
One Model To Learn Them All
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
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
160
129,250
0
12 Jun 2017
Depthwise Separable Convolutions for Neural Machine Translation
Depthwise Separable Convolutions for Neural Machine Translation
Lukasz Kaiser
Aidan Gomez
François Chollet
41
279
0
09 Jun 2017
Deep Convolutional Neural Networks with Merge-and-Run Mappings
Deep Convolutional Neural Networks with Merge-and-Run Mappings
Liming Zhao
Jingdong Wang
Xi Li
Zhuowen Tu
Yueting Zhuang
MoMe
53
68
0
23 Nov 2016
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
136
43,110
0
11 Feb 2015
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