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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
ArXivPDFHTML

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

26 / 2,526 papers shown
Title
Recovering from Random Pruning: On the Plasticity of Deep Convolutional
  Neural Networks
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
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
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 X\mathcal{X}X-Transformed Points
Yangyan Li
Rui Bu
Mingchao Sun
Wei Wu
Xinhan Di
Baoquan Chen
3DPC
166
2,424
0
23 Jan 2018
EffNet: An Efficient Structure for Convolutional Neural Networks
EffNet: An Efficient Structure for Convolutional Neural Networks
Ido Freeman
L. Roese-Koerner
A. Kummert
39
98
0
19 Jan 2018
Attenuation correction for brain PET imaging using deep neural network
  based on dixon and ZTE MR images
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
Rethinking Spatiotemporal Feature Learning: Speed-Accuracy Trade-offs in Video Classification
Saining Xie
Chen Sun
Jonathan Huang
Zhuowen Tu
Kevin Patrick Murphy
3DH
57
1,312
0
13 Dec 2017
Deep Expander Networks: Efficient Deep Networks from Graph Theory
Deep Expander Networks: Efficient Deep Networks from Graph Theory
Ameya Prabhu
G. Varma
A. Namboodiri
GNN
35
71
0
23 Nov 2017
Integral Human Pose Regression
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
Moonshine: Distilling with Cheap Convolutions
Elliot J. Crowley
Gavia Gray
Amos Storkey
33
121
0
07 Nov 2017
Towards Effective Low-bitwidth Convolutional Neural Networks
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
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
Group-level Emotion Recognition using Transfer Learning from Face
  Identification
Group-level Emotion Recognition using Transfer Learning from Face Identification
Alexandr G. Rassadin
Alexey Gruzdev
Andrey V. Savchenko
CVBM
7
62
0
06 Sep 2017
Squeeze-and-Excitation Networks
Squeeze-and-Excitation Networks
Jie Hu
Li Shen
Samuel Albanie
Gang Sun
Enhua Wu
186
26,114
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
133
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
41
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
55
1,057
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
8,399
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
129,003
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
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
43,089
0
11 Feb 2015
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