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Going Deeper with Convolutions

Going Deeper with Convolutions

17 September 2014
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
ArXivPDFHTML

Papers citing "Going Deeper with Convolutions"

50 / 197 papers shown
Title
Multi-Moments in Time: Learning and Interpreting Models for Multi-Action
  Video Understanding
Multi-Moments in Time: Learning and Interpreting Models for Multi-Action Video Understanding
Mathew Monfort
Bowen Pan
K. Ramakrishnan
A. Andonian
Barry A. McNamara
A. Lascelles
Quanfu Fan
Dan Gutfreund
Rogerio Feris
A. Oliva
VLM
76
68
0
01 Nov 2019
Circulant Binary Convolutional Networks: Enhancing the Performance of
  1-bit DCNNs with Circulant Back Propagation
Circulant Binary Convolutional Networks: Enhancing the Performance of 1-bit DCNNs with Circulant Back Propagation
Chunlei Liu
Wenrui Ding
Xin Xia
Baochang Zhang
Jiaxin Gu
Jianzhuang Liu
Rongrong Ji
David Doermann
MQ
78
75
0
24 Oct 2019
Controlling the Output Length of Neural Machine Translation
Controlling the Output Length of Neural Machine Translation
Surafel Melaku Lakew
Mattia Antonino Di Gangi
Marcello Federico
102
68
0
23 Oct 2019
Deja-vu: Double Feature Presentation and Iterated Loss in Deep
  Transformer Networks
Deja-vu: Double Feature Presentation and Iterated Loss in Deep Transformer Networks
Andros Tjandra
Chunxi Liu
Frank Zhang
Xiaohui Zhang
Yongqiang Wang
Gabriel Synnaeve
Satoshi Nakamura
Geoffrey Zweig
ViT
60
45
0
23 Oct 2019
Controllable Text-to-Image Generation
Controllable Text-to-Image Generation
Bowen Li
Xiaojuan Qi
Thomas Lukasiewicz
Philip Torr
GAN
84
354
0
16 Sep 2019
Multifaceted Analysis of Fine-Tuning in Deep Model for Visual
  Recognition
Multifaceted Analysis of Fine-Tuning in Deep Model for Visual Recognition
Xiangyang Li
Luis Herranz
Shuqiang Jiang
181
2
0
11 Jul 2019
Learning Compact Recurrent Neural Networks with Block-Term Tensor
  Decomposition
Learning Compact Recurrent Neural Networks with Block-Term Tensor Decomposition
Jinmian Ye
Linnan Wang
Guangxi Li
Di Chen
Shandian Zhe
Xinqi Chu
Zenglin Xu
88
132
0
14 Dec 2017
Integrated Model, Batch and Domain Parallelism in Training Neural
  Networks
Integrated Model, Batch and Domain Parallelism in Training Neural Networks
A. Gholami
A. Azad
Peter H. Jin
Kurt Keutzer
A. Buluç
78
84
0
12 Dec 2017
A trans-disciplinary review of deep learning research for water
  resources scientists
A trans-disciplinary review of deep learning research for water resources scientists
Chaopeng Shen
AI4CE
177
690
0
06 Dec 2017
Deep Learning for identifying radiogenomic associations in breast cancer
Deep Learning for identifying radiogenomic associations in breast cancer
Zhe Zhu
Ehab Albadawy
Ashirbani Saha
Jun Zhang
Michael R. Harowicz
Maciej A. Mazurowski
71
126
0
29 Nov 2017
Parallel WaveNet: Fast High-Fidelity Speech Synthesis
Parallel WaveNet: Fast High-Fidelity Speech Synthesis
Aaron van den Oord
Yazhe Li
Igor Babuschkin
Karen Simonyan
Oriol Vinyals
...
Alex Graves
Helen King
T. Walters
Dan Belov
Demis Hassabis
205
858
0
28 Nov 2017
Detecting Adversarial Image Examples in Deep Networks with Adaptive
  Noise Reduction
Detecting Adversarial Image Examples in Deep Networks with Adaptive Noise Reduction
Bin Liang
Hongcheng Li
Miaoqiang Su
Xirong Li
Wenchang Shi
Xiaofeng Wang
AAML
86
217
0
23 May 2017
Training Deep Convolutional Neural Networks with Resistive Cross-Point
  Devices
Training Deep Convolutional Neural Networks with Resistive Cross-Point Devices
Tayfun Gokmen
M. Onen
W. Haensch
66
140
0
22 May 2017
Facial Affect Estimation in the Wild Using Deep Residual and
  Convolutional Networks
Facial Affect Estimation in the Wild Using Deep Residual and Convolutional Networks
Behzad Hassani
Mohammad H. Mahoor
CVBM
86
24
0
22 May 2017
MTDeep: Boosting the Security of Deep Neural Nets Against Adversarial
  Attacks with Moving Target Defense
MTDeep: Boosting the Security of Deep Neural Nets Against Adversarial Attacks with Moving Target Defense
Sailik Sengupta
Tathagata Chakraborti
S. Kambhampati
AAML
93
63
0
19 May 2017
Multi-Stage Variational Auto-Encoders for Coarse-to-Fine Image
  Generation
Multi-Stage Variational Auto-Encoders for Coarse-to-Fine Image Generation
Lei Cai
Hongyang Gao
Shuiwang Ji
77
69
0
19 May 2017
CNN-Based Joint Clustering and Representation Learning with Feature
  Drift Compensation for Large-Scale Image Data
CNN-Based Joint Clustering and Representation Learning with Feature Drift Compensation for Large-Scale Image Data
Chih-Chung Hsu
Chia-Wen Lin
SSL
80
128
0
19 May 2017
Single Image Super-Resolution Using Multi-Scale Convolutional Neural
  Network
Single Image Super-Resolution Using Multi-Scale Convolutional Neural Network
Xiaoyi Jia
Xiangmin Xu
Bolun Cai
K. Guo
SupR
90
15
0
15 May 2017
Revisiting IM2GPS in the Deep Learning Era
Revisiting IM2GPS in the Deep Learning Era
Nam N. Vo
Nathan Jacobs
James Hays
58
116
0
13 May 2017
DeepCorrect: Correcting DNN models against Image Distortions
DeepCorrect: Correcting DNN models against Image Distortions
Tejas S. Borkar
Lina Karam
82
94
0
05 May 2017
Motion Prediction Under Multimodality with Conditional Stochastic
  Networks
Motion Prediction Under Multimodality with Conditional Stochastic Networks
Katerina Fragkiadaki
Jonathan Huang
Alexander A. Alemi
Sudheendra Vijayanarasimhan
Susanna Ricco
Rahul Sukthankar
3DH
66
25
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
92
118
0
30 Apr 2017
On the Expressive Power of Overlapping Architectures of Deep Learning
On the Expressive Power of Overlapping Architectures of Deep Learning
Or Sharir
Amnon Shashua
83
10
0
06 Mar 2017
All You Need is Beyond a Good Init: Exploring Better Solution for
  Training Extremely Deep Convolutional Neural Networks with Orthonormality and
  Modulation
All You Need is Beyond a Good Init: Exploring Better Solution for Training Extremely Deep Convolutional Neural Networks with Orthonormality and Modulation
Di Xie
Jiang Xiong
Shiliang Pu
106
182
0
06 Mar 2017
Genetic CNN
Genetic CNN
Lingxi Xie
Alan Yuille
3DV
121
842
0
04 Mar 2017
Binarized Convolutional Landmark Localizers for Human Pose Estimation
  and Face Alignment with Limited Resources
Binarized Convolutional Landmark Localizers for Human Pose Estimation and Face Alignment with Limited Resources
Adrian Bulat
Georgios Tzimiropoulos
CVBM
3DV
107
191
0
02 Mar 2017
An Analytical Formula of Population Gradient for two-layered ReLU
  network and its Applications in Convergence and Critical Point Analysis
An Analytical Formula of Population Gradient for two-layered ReLU network and its Applications in Convergence and Critical Point Analysis
Yuandong Tian
MLT
181
216
0
02 Mar 2017
A Deep Cascade of Convolutional Neural Networks for MR Image
  Reconstruction
A Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction
Jo Schlemper
Jose Caballero
Joseph V. Hajnal
Anthony N. Price
Daniel Rueckert
104
348
0
01 Mar 2017
eXpose: A Character-Level Convolutional Neural Network with Embeddings
  For Detecting Malicious URLs, File Paths and Registry Keys
eXpose: A Character-Level Convolutional Neural Network with Embeddings For Detecting Malicious URLs, File Paths and Registry Keys
Joshua Saxe
Konstantin Berlin
82
206
0
27 Feb 2017
Memory-Efficient Global Refinement of Decision-Tree Ensembles and its
  Application to Face Alignment
Memory-Efficient Global Refinement of Decision-Tree Ensembles and its Application to Face Alignment
Nenad Markuš
Ivan Gogić
Igor S. Pandzic
Jörgen Ahlberg
CVBM
51
1
0
27 Feb 2017
Convolutional Neural Network Committees for Melanoma Classification with
  Classical And Expert Knowledge Based Image Transforms Data Augmentation
Convolutional Neural Network Committees for Melanoma Classification with Classical And Expert Knowledge Based Image Transforms Data Augmentation
C. N. Vasconcelos
Bárbara Nader Vasconcelos
MedIm
73
32
0
22 Feb 2017
Fast and Accurate Entity Recognition with Iterated Dilated Convolutions
Fast and Accurate Entity Recognition with Iterated Dilated Convolutions
Emma Strubell
Pat Verga
David Belanger
Andrew McCallum
88
396
0
07 Feb 2017
Designing Deep Convolutional Neural Networks for Continuous Object
  Orientation Estimation
Designing Deep Convolutional Neural Networks for Continuous Object Orientation Estimation
Kota Hara
Raviteja Vemulapalli
Rama Chellappa
101
84
0
06 Feb 2017
Deep Learning with Low Precision by Half-wave Gaussian Quantization
Deep Learning with Low Precision by Half-wave Gaussian Quantization
Zhaowei Cai
Xiaodong He
Jian Sun
Nuno Vasconcelos
MQ
136
505
0
03 Feb 2017
Visual Saliency Prediction Using a Mixture of Deep Neural Networks
Visual Saliency Prediction Using a Mixture of Deep Neural Networks
Samuel F. Dodge
Lina Karam
FAtt
88
48
0
01 Feb 2017
Towards End-to-End Face Recognition through Alignment Learning
Towards End-to-End Face Recognition through Alignment Learning
Yuanyi Zhong
Jiansheng Chen
Bo Huang
CVBM
3DV
85
60
0
25 Jan 2017
A Large-scale Dataset and Benchmark for Similar Trademark Retrieval
A Large-scale Dataset and Benchmark for Similar Trademark Retrieval
Osman Tursun
Cemal Aker
Sinan Kalkan
AAML
43
21
0
20 Jan 2017
Deep Learning for Computational Chemistry
Deep Learning for Computational Chemistry
Garrett B. Goh
Nathan Oken Hodas
Abhinav Vishnu
AI4CE
71
679
0
17 Jan 2017
An OpenCL(TM) Deep Learning Accelerator on Arria 10
An OpenCL(TM) Deep Learning Accelerator on Arria 10
U. Aydonat
Shane O'Connell
D. Capalija
A. Ling
Gordon R. Chiu
BDL
AI4CE
68
240
0
13 Jan 2017
Looking Beyond Appearances: Synthetic Training Data for Deep CNNs in
  Re-identification
Looking Beyond Appearances: Synthetic Training Data for Deep CNNs in Re-identification
Igor Barros Barbosa
Marco Cristani
Barbara Caputo
Aleksander Rognhaugen
T. Theoharis
84
197
0
11 Jan 2017
CNN-based Segmentation of Medical Imaging Data
CNN-based Segmentation of Medical Imaging Data
Baris Kayalibay
Grady Jensen
Patrick van der Smagt
SSeg
184
414
0
11 Jan 2017
Semantic Perceptual Image Compression using Deep Convolution Networks
Semantic Perceptual Image Compression using Deep Convolution Networks
Aaditya (Adi) Prakash
N. Moran
Solomon Garber
Antonella DiLillo
J. Storer
97
82
0
27 Dec 2016
YOLO9000: Better, Faster, Stronger
YOLO9000: Better, Faster, Stronger
Joseph Redmon
Ali Farhadi
VLM
ObjD
179
15,602
0
25 Dec 2016
Adversarial Examples Detection in Deep Networks with Convolutional
  Filter Statistics
Adversarial Examples Detection in Deep Networks with Convolutional Filter Statistics
Xin Li
Fuxin Li
GAN
AAML
110
365
0
22 Dec 2016
Detecting Unexpected Obstacles for Self-Driving Cars: Fusing Deep
  Learning and Geometric Modeling
Detecting Unexpected Obstacles for Self-Driving Cars: Fusing Deep Learning and Geometric Modeling
Sebastian Ramos
S. Gehrig
Peter Pinggera
Uwe Franke
Carsten Rother
143
174
0
20 Dec 2016
Wide-Slice Residual Networks for Food Recognition
Wide-Slice Residual Networks for Food Recognition
N. Martinel
G. Foresti
C. Micheloni
97
201
0
20 Dec 2016
Quantization and Training of Low Bit-Width Convolutional Neural Networks
  for Object Detection
Quantization and Training of Low Bit-Width Convolutional Neural Networks for Object Detection
Penghang Yin
Shuai Zhang
Y. Qi
Jack Xin
MQ
142
41
0
19 Dec 2016
Object Recognition with and without Objects
Object Recognition with and without Objects
Zhuotun Zhu
Lingxi Xie
Alan Yuille
OCL
ObjD
109
81
0
20 Nov 2016
Recovering the Missing Link: Predicting Class-Attribute Associations for
  Unsupervised Zero-Shot Learning
Recovering the Missing Link: Predicting Class-Attribute Associations for Unsupervised Zero-Shot Learning
Ziad Al-Halah
Makarand Tapaswi
Rainer Stiefelhagen
VLM
46
104
0
15 Oct 2016
Impatient DNNs - Deep Neural Networks with Dynamic Time Budgets
Impatient DNNs - Deep Neural Networks with Dynamic Time Budgets
Manuel Amthor
E. Rodner
Joachim Denzler
77
17
0
10 Oct 2016
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