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Rethinking the Inception Architecture for Computer Vision

Rethinking the Inception Architecture for Computer Vision

2 December 2015
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
    3DV
    BDL
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Papers citing "Rethinking the Inception Architecture for Computer Vision"

50 / 4,560 papers shown
Title
Enhancing the Performance of Convolutional Neural Networks on Quality
  Degraded Datasets
Enhancing the Performance of Convolutional Neural Networks on Quality Degraded Datasets
Jonghwa Yim
Kyung-ah Sohn
15
54
0
18 Oct 2017
Boosting Adversarial Attacks with Momentum
Boosting Adversarial Attacks with Momentum
Yinpeng Dong
Fangzhou Liao
Tianyu Pang
Hang Su
Jun Zhu
Xiaolin Hu
Jianguo Li
AAML
24
83
0
17 Oct 2017
Data-Driven and Deep Learning Methodology for Deceptive Advertising and
  Phone Scams Detection
Data-Driven and Deep Learning Methodology for Deceptive Advertising and Phone Scams Detection
TonTon Hsien-De Huang
Chia-Mu Yu
Hung-Yu kao
19
9
0
15 Oct 2017
Mixed Precision Training
Mixed Precision Training
Paulius Micikevicius
Sharan Narang
Jonah Alben
G. Diamos
Erich Elsen
...
Boris Ginsburg
Michael Houston
Oleksii Kuchaiev
Ganesh Venkatesh
Hao Wu
66
1,762
0
10 Oct 2017
In-Field Peduncle Detection of Sweet Peppers for Robotic Harvesting: a
  comparative study
In-Field Peduncle Detection of Sweet Peppers for Robotic Harvesting: a comparative study
Christopher F. Lehnert
Chris McCool
Tristan Perez
14
2
0
29 Sep 2017
Riemannian approach to batch normalization
Riemannian approach to batch normalization
Minhyung Cho
Jaehyung Lee
29
93
0
27 Sep 2017
Comparison of Batch Normalization and Weight Normalization Algorithms
  for the Large-scale Image Classification
Comparison of Batch Normalization and Weight Normalization Algorithms for the Large-scale Image Classification
Igor Gitman
Boris Ginsburg
8
65
0
24 Sep 2017
How intelligent are convolutional neural networks?
How intelligent are convolutional neural networks?
Zhennan Yan
Xiangmin Zhou
12
11
0
18 Sep 2017
Recognizing Objects In-the-wild: Where Do We Stand?
Recognizing Objects In-the-wild: Where Do We Stand?
Mohammad Reza Loghmani
Barbara Caputo
Markus Vincze
21
40
0
18 Sep 2017
Multi-scale Deep Learning Architectures for Person Re-identification
Multi-scale Deep Learning Architectures for Person Re-identification
Xuelin Qian
Yanwei Fu
Yu-Gang Jiang
Tao Xiang
Xiangyang Xue
28
276
0
15 Sep 2017
Joint Hierarchical Category Structure Learning and Large-Scale Image
  Classification
Joint Hierarchical Category Structure Learning and Large-Scale Image Classification
Yanyun Qu
Li Lin
Fumin Shen
Chang Lu
Yang Wu
Yuan Xie
Dacheng Tao
VLM
18
58
0
15 Sep 2017
Self-Guiding Multimodal LSTM - when we do not have a perfect training
  dataset for image captioning
Self-Guiding Multimodal LSTM - when we do not have a perfect training dataset for image captioning
Yang Xian
Yingli Tian
VLM
25
22
0
15 Sep 2017
EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial
  Examples
EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples
Pin-Yu Chen
Yash Sharma
Huan Zhang
Jinfeng Yi
Cho-Jui Hsieh
AAML
22
636
0
13 Sep 2017
Squeeze-and-Excitation Networks
Squeeze-and-Excitation Networks
Jie Hu
Li Shen
Samuel Albanie
Gang Sun
Enhua Wu
51
26,022
0
05 Sep 2017
The Devil is in the Tails: Fine-grained Classification in the Wild
The Devil is in the Tails: Fine-grained Classification in the Wild
Grant Van Horn
Pietro Perona
VLM
34
205
0
05 Sep 2017
Multi-label Class-imbalanced Action Recognition in Hockey Videos via 3D
  Convolutional Neural Networks
Multi-label Class-imbalanced Action Recognition in Hockey Videos via 3D Convolutional Neural Networks
Konstantin Sozykin
Stanislav Protasov
A. Khan
Rasheed Hussain
Jooyoung Lee
35
45
0
05 Sep 2017
EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and
  Land Cover Classification
EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification
P. Helber
B. Bischke
Andreas Dengel
Damian Borth
22
1,732
0
31 Aug 2017
ConvNet Architecture Search for Spatiotemporal Feature Learning
ConvNet Architecture Search for Spatiotemporal Feature Learning
Du Tran
Jamie Ray
Zheng Shou
Shih-Fu Chang
Manohar Paluri
3DPC
40
382
0
16 Aug 2017
Inception Score, Label Smoothing, Gradient Vanishing and -log(D(x)) Alternative
Zhiming Zhou
Weinan Zhang
Jun Wang
32
19
0
05 Aug 2017
Automatic Spatially-aware Fashion Concept Discovery
Automatic Spatially-aware Fashion Concept Discovery
Xintong Han
Zuxuan Wu
Phoenix X. Huang
Xiao Zhang
Menglong Zhu
Yuan Li
Yang Zhao
L. Davis
35
267
0
03 Aug 2017
SLEEPNET: Automated Sleep Staging System via Deep Learning
SLEEPNET: Automated Sleep Staging System via Deep Learning
Siddharth Biswal
Joshua A. Kulas
Haoqi Sun
B. Goparaju
M. P. M. Brandon Westover
M. Bianchi
Jimeng Sun
MLAU
12
136
0
26 Jul 2017
Likelihood Estimation for Generative Adversarial Networks
Likelihood Estimation for Generative Adversarial Networks
Hamid Eghbalzadeh
Gerhard Widmer
GAN
24
8
0
24 Jul 2017
A Multi-Scale CNN and Curriculum Learning Strategy for Mammogram
  Classification
A Multi-Scale CNN and Curriculum Learning Strategy for Mammogram Classification
William Lotter
Greg Sorensen
David D. Cox
27
141
0
21 Jul 2017
Imitation from Observation: Learning to Imitate Behaviors from Raw Video
  via Context Translation
Imitation from Observation: Learning to Imitate Behaviors from Raw Video via Context Translation
YuXuan Liu
Abhishek Gupta
Pieter Abbeel
Sergey Levine
39
374
0
11 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
28
81
0
10 Jul 2017
Real-time Distracted Driver Posture Classification
Real-time Distracted Driver Posture Classification
Yehya Abouelnaga
Hesham M. Eraqi
Mohamed N. Moustafa
19
202
0
28 Jun 2017
Variational Approaches for Auto-Encoding Generative Adversarial Networks
Variational Approaches for Auto-Encoding Generative Adversarial Networks
Mihaela Rosca
Balaji Lakshminarayanan
David Warde-Farley
S. Mohamed
DRL
GAN
19
263
0
15 Jun 2017
Large-Scale YouTube-8M Video Understanding with Deep Neural Networks
Large-Scale YouTube-8M Video Understanding with Deep Neural Networks
Manuk Akopyan
Eshsou Khashba
17
7
0
14 Jun 2017
Device Placement Optimization with Reinforcement Learning
Device Placement Optimization with Reinforcement Learning
Azalia Mirhoseini
Hieu H. Pham
Quoc V. Le
Benoit Steiner
Rasmus Larsen
Yuefeng Zhou
Naveen Kumar
Mohammad Norouzi
Samy Bengio
J. Dean
22
436
0
13 Jun 2017
SmoothGrad: removing noise by adding noise
SmoothGrad: removing noise by adding noise
D. Smilkov
Nikhil Thorat
Been Kim
F. Viégas
Martin Wattenberg
FAtt
ODL
40
2,204
0
12 Jun 2017
Poseidon: An Efficient Communication Architecture for Distributed Deep
  Learning on GPU Clusters
Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters
H. M. Zhang
Zeyu Zheng
Shizhen Xu
Wei-Ming Dai
Qirong Ho
Xiaodan Liang
Zhiting Hu
Jinliang Wei
P. Xie
Eric P. Xing
GNN
23
343
0
11 Jun 2017
Recurrent computations for visual pattern completion
Recurrent computations for visual pattern completion
Hanlin Tang
Martin Schrimpf
William Lotter
Charlotte Moerman
Ana Paredes
Josue Ortega Caro
Walter Hardesty
David D. Cox
Gabriel Kreiman
23
211
0
07 Jun 2017
Compression Fractures Detection on CT
Compression Fractures Detection on CT
A. Bar
Lior Wolf
Orna Bergman Amitai
Eyal Toledano
E. Elnekave
16
67
0
06 Jun 2017
Depth Structure Preserving Scene Image Generation
Wendong Zhang
Bingbing Ni
Yichao Yan
Jingwei Xu
Xiaokang Yang
GAN
35
4
0
01 Jun 2017
Deep Matching and Validation Network -- An End-to-End Solution to
  Constrained Image Splicing Localization and Detection
Deep Matching and Validation Network -- An End-to-End Solution to Constrained Image Splicing Localization and Detection
Yue Wu
Wael Abd-Almageed
Premkumar Natarajan
14
110
0
27 May 2017
Train longer, generalize better: closing the generalization gap in large
  batch training of neural networks
Train longer, generalize better: closing the generalization gap in large batch training of neural networks
Elad Hoffer
Itay Hubara
Daniel Soudry
ODL
32
792
0
24 May 2017
The Marginal Value of Adaptive Gradient Methods in Machine Learning
The Marginal Value of Adaptive Gradient Methods in Machine Learning
Ashia C. Wilson
Rebecca Roelofs
Mitchell Stern
Nathan Srebro
Benjamin Recht
ODL
20
1,012
0
23 May 2017
Adversarial Examples Are Not Easily Detected: Bypassing Ten Detection
  Methods
Adversarial Examples Are Not Easily Detected: Bypassing Ten Detection Methods
Nicholas Carlini
D. Wagner
AAML
6
1,842
0
20 May 2017
Ensemble Adversarial Training: Attacks and Defenses
Ensemble Adversarial Training: Attacks and Defenses
Florian Tramèr
Alexey Kurakin
Nicolas Papernot
Ian Goodfellow
Dan Boneh
Patrick McDaniel
AAML
38
2,699
0
19 May 2017
Exploring the structure of a real-time, arbitrary neural artistic
  stylization network
Exploring the structure of a real-time, arbitrary neural artistic stylization network
Golnaz Ghiasi
Honglak Lee
M. Kudlur
Vincent Dumoulin
Jonathon Shlens
19
289
0
18 May 2017
Revisiting IM2GPS in the Deep Learning Era
Revisiting IM2GPS in the Deep Learning Era
Nam N. Vo
Nathan Jacobs
James Hays
20
113
0
13 May 2017
Imagination improves Multimodal Translation
Imagination improves Multimodal Translation
Desmond Elliott
Ákos Kádár
26
136
0
11 May 2017
Temporal Segment Networks for Action Recognition in Videos
Temporal Segment Networks for Action Recognition in Videos
Limin Wang
Yuanjun Xiong
Zhe Wang
Yu Qiao
Dahua Lin
Xiaoou Tang
Luc Van Gool
ViT
37
802
0
08 May 2017
ChineseFoodNet: A large-scale Image Dataset for Chinese Food Recognition
ChineseFoodNet: A large-scale Image Dataset for Chinese Food Recognition
Xin Chen
Yu Zhu
Huan Zhou
Liang Diao
Dongyan Wang
22
104
0
08 May 2017
Toward Low-Flying Autonomous MAV Trail Navigation using Deep Neural
  Networks for Environmental Awareness
Toward Low-Flying Autonomous MAV Trail Navigation using Deep Neural Networks for Environmental Awareness
Nikolai Smolyanskiy
A. Kamenev
Jeffrey Smith
Stan Birchfield
22
222
0
07 May 2017
Knowledge-Guided Deep Fractal Neural Networks for Human Pose Estimation
Knowledge-Guided Deep Fractal Neural Networks for Human Pose Estimation
G. Ning
Zhi Zhang
Zhiquan He
GAN
21
169
0
05 May 2017
Analysis and Design of Convolutional Networks via Hierarchical Tensor
  Decompositions
Analysis and Design of Convolutional Networks via Hierarchical Tensor Decompositions
Nadav Cohen
Or Sharir
Yoav Levine
Ronen Tamari
David Yakira
Amnon Shashua
12
38
0
05 May 2017
Deep Learning in the Automotive Industry: Applications and Tools
Deep Learning in the Automotive Industry: Applications and Tools
André Luckow
M. Cook
Nathan Ashcraft
Edwin Weill
Emil Djerekarov
Bennie Vorster
12
116
0
30 Apr 2017
Inception Recurrent Convolutional Neural Network for Object Recognition
Inception Recurrent Convolutional Neural Network for Object Recognition
Md. Zahangir Alom
Mahmudul Hasan
C. Yakopcic
T. Taha
39
86
0
25 Apr 2017
Automatic Image Filtering on Social Networks Using Deep Learning and
  Perceptual Hashing During Crises
Automatic Image Filtering on Social Networks Using Deep Learning and Perceptual Hashing During Crises
T. Nguyen
Firoj Alam
Ferda Ofli
Muhammad Imran
21
86
0
09 Apr 2017
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