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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"

50 / 2,454 papers shown
Title
SNIPER: Efficient Multi-Scale Training
SNIPER: Efficient Multi-Scale Training
Bharat Singh
Mahyar Najibi
L. Davis
ObjD
25
481
0
23 May 2018
Mixup-Based Acoustic Scene Classification Using Multi-Channel
  Convolutional Neural Network
Mixup-Based Acoustic Scene Classification Using Multi-Channel Convolutional Neural Network
Kele Xu
Dawei Feng
Haibo Mi
Boqing Zhu
Dezhi Wang
Lilun Zhang
Hengxing Cai
S. Liu
16
92
0
18 May 2018
ContextNet: Exploring Context and Detail for Semantic Segmentation in
  Real-time
ContextNet: Exploring Context and Detail for Semantic Segmentation in Real-time
Rudra P. K. Poudel
Ujwal D. Bonde
Stephan Liwicki
Christopher Zach
SSeg
38
230
0
11 May 2018
Quantization Mimic: Towards Very Tiny CNN for Object Detection
Quantization Mimic: Towards Very Tiny CNN for Object Detection
Yi Wei
Xinyu Pan
Hongwei Qin
Wanli Ouyang
Junjie Yan
ObjD
22
88
0
06 May 2018
SdcNet: A Computation-Efficient CNN for Object Recognition
SdcNet: A Computation-Efficient CNN for Object Recognition
Yunlong Ma
Chunyan Wang
21
3
0
03 May 2018
Exploring the Limits of Weakly Supervised Pretraining
Exploring the Limits of Weakly Supervised Pretraining
D. Mahajan
Ross B. Girshick
Vignesh Ramanathan
Kaiming He
Manohar Paluri
Yixuan Li
Ashwin R. Bharambe
Laurens van der Maaten
VLM
101
1,356
0
02 May 2018
OMG - Emotion Challenge Solution
OMG - Emotion Challenge Solution
Yuqi Cui
Xiao Zhang
Yang Wang
Chenfeng Guo
Dongrui Wu
20
1
0
30 Apr 2018
Stacked U-Nets: A No-Frills Approach to Natural Image Segmentation
Stacked U-Nets: A No-Frills Approach to Natural Image Segmentation
Sohil Shah
P. Ghosh
L. Davis
Tom Goldstein
SSeg
26
55
0
27 Apr 2018
QANet: Combining Local Convolution with Global Self-Attention for
  Reading Comprehension
QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension
Adams Wei Yu
David Dohan
Minh-Thang Luong
Rui Zhao
Kai Chen
Mohammad Norouzi
Quoc V. Le
RALM
AIMat
35
1,092
0
23 Apr 2018
MobileFaceNets: Efficient CNNs for Accurate Real-Time Face Verification
  on Mobile Devices
MobileFaceNets: Efficient CNNs for Accurate Real-Time Face Verification on Mobile Devices
Sheng Chen
Yang Liu
Xiang Gao
Zhen Han
CVBM
3DH
30
557
0
20 Apr 2018
SFace: An Efficient Network for Face Detection in Large Scale Variations
SFace: An Efficient Network for Face Detection in Large Scale Variations
Jianfeng Wang
Ye Yuan
Boxun Li
Gang Yu
Sun Jian
CVBM
16
22
0
18 Apr 2018
DetNet: A Backbone network for Object Detection
DetNet: A Backbone network for Object Detection
Zeming Li
Chao Peng
Gang Yu
Xiangyu Zhang
Yangdong Deng
Jian Sun
ObjD
88
263
0
17 Apr 2018
IGCV$2$: Interleaved Structured Sparse Convolutional Neural Networks
IGCV222: Interleaved Structured Sparse Convolutional Neural Networks
Guotian Xie
Jingdong Wang
Ting Zhang
Jianhuang Lai
Richang Hong
Guo-Jun Qi
16
105
0
17 Apr 2018
Towards High Performance Video Object Detection for Mobiles
Towards High Performance Video Object Detection for Mobiles
Xizhou Zhu
Jifeng Dai
Xingchi Zhu
Yichen Wei
Lu Yuan
ObjD
20
49
0
16 Apr 2018
Diagonalwise Refactorization: An Efficient Training Method for Depthwise
  Convolutions
Diagonalwise Refactorization: An Efficient Training Method for Depthwise Convolutions
Zheng Qin
Zhaoning Zhang
Dongsheng Li
Yiming Zhang
Yuxing Peng
25
28
0
27 Mar 2018
Fast and Accurate Single Image Super-Resolution via Information
  Distillation Network
Fast and Accurate Single Image Super-Resolution via Information Distillation Network
Zheng Hui
Xiumei Wang
Xinbo Gao
SupR
25
719
0
26 Mar 2018
FaceForensics: A Large-scale Video Dataset for Forgery Detection in
  Human Faces
FaceForensics: A Large-scale Video Dataset for Forgery Detection in Human Faces
Andreas Rossler
D. Cozzolino
L. Verdoliva
Christian Riess
Justus Thies
Matthias Nießner
PICV
AAML
CVBM
19
375
0
24 Mar 2018
Merging and Evolution: Improving Convolutional Neural Networks for
  Mobile Applications
Merging and Evolution: Improving Convolutional Neural Networks for Mobile Applications
Zheng Qin
Zhaoning Zhang
Shiqing Zhang
Hao Yu
Yuxing Peng
11
7
0
24 Mar 2018
Aerial LaneNet: Lane Marking Semantic Segmentation in Aerial Imagery
  using Wavelet-Enhanced Cost-sensitive Symmetric Fully Convolutional Neural
  Networks
Aerial LaneNet: Lane Marking Semantic Segmentation in Aerial Imagery using Wavelet-Enhanced Cost-sensitive Symmetric Fully Convolutional Neural Networks
S. Azimi
P. Fischer
Marco Körner
P. Reinartz
19
101
0
19 Mar 2018
ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic
  Segmentation
ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation
Sachin Mehta
Mohammad Rastegari
A. Caspi
Linda G. Shapiro
Hannaneh Hajishirzi
SSeg
43
778
0
19 Mar 2018
Tensor2Tensor for Neural Machine Translation
Tensor2Tensor for Neural Machine Translation
Ashish Vaswani
Samy Bengio
E. Brevdo
François Chollet
Aidan Gomez
...
Nal Kalchbrenner
Niki Parmar
Ryan Sepassi
Noam M. Shazeer
Jakob Uszkoreit
60
528
0
16 Mar 2018
Compact Convolutional Neural Networks for Classification of Asynchronous
  Steady-state Visual Evoked Potentials
Compact Convolutional Neural Networks for Classification of Asynchronous Steady-state Visual Evoked Potentials
Nicholas R. Waytowich
Vernon J. Lawhern
J. Garcia
J. Cummings
J. Faller
P. Sajda
J. Vettel
13
180
0
12 Mar 2018
Video Object Segmentation with Joint Re-identification and
  Attention-Aware Mask Propagation
Video Object Segmentation with Joint Re-identification and Attention-Aware Mask Propagation
Xiaoxiao Li
Chen Change Loy
VOS
24
196
0
12 Mar 2018
ShuffleSeg: Real-time Semantic Segmentation Network
ShuffleSeg: Real-time Semantic Segmentation Network
M. Gamal
Mennatullah Siam
Moemen Abdel-Razek
SSeg
33
59
0
10 Mar 2018
Driving Scene Perception Network: Real-time Joint Detection, Depth
  Estimation and Semantic Segmentation
Driving Scene Perception Network: Real-time Joint Detection, Depth Estimation and Semantic Segmentation
Liangfu Chen
Ze Yang
J. Ma
Zheng Luo
29
47
0
10 Mar 2018
HENet:A Highly Efficient Convolutional Neural Networks Optimized for
  Accuracy, Speed and Storage
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
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
874
0
03 Mar 2018
CSRNet: Dilated Convolutional Neural Networks for Understanding the
  Highly Congested Scenes
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
Demystifying Parallel and Distributed Deep Learning: An In-Depth Concurrency Analysis
Tal Ben-Nun
Torsten Hoefler
GNN
33
703
0
26 Feb 2018
FD-MobileNet: Improved MobileNet with a Fast Downsampling Strategy
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
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
AMC: AutoML for Model Compression and Acceleration on Mobile Devices
Yihui He
Ji Lin
Zhijian Liu
Hanrui Wang
Li-Jia Li
Song Han
35
1,342
0
10 Feb 2018
Encoder-Decoder with Atrous Separable Convolution for Semantic Image
  Segmentation
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
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
146
2,422
0
23 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
52
1,309
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
30
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
801
0
22 Nov 2017
Moonshine: Distilling with Cheap Convolutions
Moonshine: Distilling with Cheap Convolutions
Elliot J. Crowley
Gavia Gray
Amos Storkey
30
120
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
36
231
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
Squeeze-and-Excitation Networks
Squeeze-and-Excitation Networks
Jie Hu
Li Shen
Samuel Albanie
Gang Sun
Enhua Wu
93
26,062
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
Channel Pruning for Accelerating Very Deep Neural Networks
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
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
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
1,052
0
26 Jun 2017
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