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Going Deeper with Convolutions

Going Deeper with Convolutions

Computer Vision and Pattern Recognition (CVPR), 2014
17 September 2014
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
ArXiv (abs)PDFHTML

Papers citing "Going Deeper with Convolutions"

50 / 9,324 papers shown
Dynamic Capacity Networks
Dynamic Capacity Networks
Amjad Almahairi
Nicolas Ballas
Tim Cooijmans
Yin Zheng
Hugo Larochelle
Aaron Courville
561
108
0
24 Nov 2015
LocNet: Improving Localization Accuracy for Object Detection
LocNet: Improving Localization Accuracy for Object Detection
Spyros Gidaris
N. Komodakis
ObjD
267
147
0
24 Nov 2015
DenseCap: Fully Convolutional Localization Networks for Dense Captioning
DenseCap: Fully Convolutional Localization Networks for Dense Captioning
Justin Johnson
A. Karpathy
Li Fei-Fei
VLM
379
1,218
0
24 Nov 2015
The Limitations of Deep Learning in Adversarial Settings
The Limitations of Deep Learning in Adversarial Settings
Nicolas Papernot
Patrick McDaniel
S. Jha
Matt Fredrikson
Z. Berkay Celik
A. Swami
AAML
536
4,182
0
24 Nov 2015
Pushing the Boundaries of Boundary Detection using Deep Learning
Pushing the Boundaries of Boundary Detection using Deep Learning
Iasonas Kokkinos
277
240
0
23 Nov 2015
Recombinator Networks: Learning Coarse-to-Fine Feature Aggregation
Recombinator Networks: Learning Coarse-to-Fine Feature Aggregation
S. Honari
J. Yosinski
Pascal Vincent
C. Pal
215
125
0
23 Nov 2015
Node Specificity in Convolutional Deep Nets Depends on Receptive Field
  Position and Size
Node Specificity in Convolutional Deep Nets Depends on Receptive Field Position and Size
K. Zipser
MLTMDE
68
0
0
23 Nov 2015
NetVLAD: CNN architecture for weakly supervised place recognition
NetVLAD: CNN architecture for weakly supervised place recognition
Relja Arandjelović
Petr Gronát
Akihiko Torii
Tomas Pajdla
Josef Sivic
3DVSSL
539
2,983
0
23 Nov 2015
ReSeg: A Recurrent Neural Network-based Model for Semantic Segmentation
ReSeg: A Recurrent Neural Network-based Model for Semantic Segmentation
Francesco Visin
Marco Ciccone
Adriana Romero
Kyle Kastner
Dong Wang
Yoshua Bengio
Matteo Matteucci
Aaron Courville
VLMSSeg
345
262
0
22 Nov 2015
Gradual DropIn of Layers to Train Very Deep Neural Networks
Gradual DropIn of Layers to Train Very Deep Neural Networks
L. Smith
Emily M. Hand
T. Doster
AI4CE
155
37
0
22 Nov 2015
Data-dependent Initializations of Convolutional Neural Networks
Data-dependent Initializations of Convolutional Neural Networks
Philipp Krahenbuhl
Carl Doersch
Jeff Donahue
Trevor Darrell
VLM
335
206
0
21 Nov 2015
The Unreasonable Effectiveness of Noisy Data for Fine-Grained
  Recognition
The Unreasonable Effectiveness of Noisy Data for Fine-Grained Recognition
J. Krause
Benjamin Sapp
Andrew Howard
Howard Zhou
Alexander Toshev
Tom Duerig
James Philbin
Fei-Fei Li
308
369
0
20 Nov 2015
Training CNNs with Low-Rank Filters for Efficient Image Classification
Training CNNs with Low-Rank Filters for Efficient Image Classification
Yani Andrew Ioannou
D. Robertson
Jamie Shotton
R. Cipolla
A. Criminisi
259
154
0
20 Nov 2015
Superpixel Convolutional Networks using Bilateral Inceptions
Superpixel Convolutional Networks using Bilateral Inceptions
Raghudeep Gadde
Varun Jampani
Martin Kiefel
Daniel Kappler
Peter V. Gehler
SSegSupR
388
136
0
20 Nov 2015
Hand Pose Estimation through Semi-Supervised and Weakly-Supervised
  Learning
Hand Pose Estimation through Semi-Supervised and Weakly-Supervised Learning
Natalia Neverova
Christian Wolf
Florian Nebout
Graham W. Taylor
MDE3DH
337
50
0
20 Nov 2015
Deep End2End Voxel2Voxel Prediction
Deep End2End Voxel2Voxel Prediction
Du Tran
Lubomir D. Bourdev
Rob Fergus
Lorenzo Torresani
Manohar Paluri
225
121
0
20 Nov 2015
Stories in the Eye: Contextual Visual Interactions for Efficient Video
  to Language Translation
Stories in the Eye: Contextual Visual Interactions for Efficient Video to Language Translation
Anirudh Goyal
Marius Leordeanu
106
1
0
20 Nov 2015
Compression of Deep Convolutional Neural Networks for Fast and Low Power
  Mobile Applications
Compression of Deep Convolutional Neural Networks for Fast and Low Power Mobile Applications
Yong-Deok Kim
Eunhyeok Park
S. Yoo
Taelim Choi
Lu Yang
Dongjun Shin
300
929
0
20 Nov 2015
On the energy landscape of deep networks
On the energy landscape of deep networks
Pratik Chaudhari
Stefano Soatto
ODL
336
27
0
20 Nov 2015
Deep Metric Learning via Lifted Structured Feature Embedding
Deep Metric Learning via Lifted Structured Feature Embedding
Hyun Oh Song
Yu Xiang
Stefanie Jegelka
Silvio Savarese
FedMLSSLDML
377
1,741
0
19 Nov 2015
Delving Deeper into Convolutional Networks for Learning Video
  Representations
Delving Deeper into Convolutional Networks for Learning Video Representations
Nicolas Ballas
Weitong Chen
C. Pal
Aaron Courville
MDE
309
761
0
19 Nov 2015
A Controller-Recognizer Framework: How necessary is recognition for
  control?
A Controller-Recognizer Framework: How necessary is recognition for control?
Marcin Moczulski
Kelvin Xu
Aaron Courville
Dong Wang
BDLViT
131
1
0
19 Nov 2015
All you need is a good init
All you need is a good init
Dmytro Mishkin
Jirí Matas
ODL
853
637
0
19 Nov 2015
Fixed Point Quantization of Deep Convolutional Networks
Fixed Point Quantization of Deep Convolutional Networks
D. Lin
S. Talathi
V. Annapureddy
MQ
340
845
0
19 Nov 2015
Manifold Regularized Deep Neural Networks using Adversarial Examples
Manifold Regularized Deep Neural Networks using Adversarial Examples
Taehoon Lee
Minsuk Choi
Sungroh Yoon
AAMLGANOOD
97
15
0
19 Nov 2015
How much data is needed to train a medical image deep learning system to
  achieve necessary high accuracy?
How much data is needed to train a medical image deep learning system to achieve necessary high accuracy?
Junghwan Cho
Kyewook Lee
Ellie Shin
G. Choy
Synho Do
259
366
0
19 Nov 2015
Why M Heads are Better than One: Training a Diverse Ensemble of Deep
  Networks
Why M Heads are Better than One: Training a Diverse Ensemble of Deep Networks
Stefan Lee
Senthil Purushwalkam
Michael Cogswell
David J. Crandall
Dhruv Batra
FedMLUQCV
192
333
0
19 Nov 2015
Foveation-based Mechanisms Alleviate Adversarial Examples
Foveation-based Mechanisms Alleviate Adversarial Examples
Yan Luo
Xavier Boix
Gemma Roig
T. Poggio
Qi Zhao
AAML
399
175
0
19 Nov 2015
Convolutional Clustering for Unsupervised Learning
Convolutional Clustering for Unsupervised Learning
Aysegül Dündar
Jonghoon Jin
Eugenio Culurciello
SSL
209
85
0
19 Nov 2015
Towards Open Set Deep Networks
Towards Open Set Deep Networks
Abhijit Bendale
Terrance Boult
BDLEDL
473
1,631
0
19 Nov 2015
Semi-supervised Learning for Convolutional Neural Networks via Online Graph Construction
Sheng-Yi Bai
Sebastian Agethen
T. Chao
Winston H. Hsu
SSLGNN
97
4
0
19 Nov 2015
Mediated Experts for Deep Convolutional Networks
Mediated Experts for Deep Convolutional Networks
Aykut Erdem
Winston H. Hsu
144
21
0
19 Nov 2015
Convolutional neural networks with low-rank regularization
Convolutional neural networks with low-rank regularization
Cheng Tai
Tong Xiao
Yi Zhang
Xiaogang Wang
E. Weinan
BDL
271
486
0
19 Nov 2015
Deep Learning for Tactile Understanding From Visual and Haptic Data
Deep Learning for Tactile Understanding From Visual and Haptic Data
Yang Gao
Lisa Anne Hendricks
Katherine J. Kuchenbecker
Trevor Darrell
205
256
0
19 Nov 2015
SparkNet: Training Deep Networks in Spark
SparkNet: Training Deep Networks in Spark
Philipp Moritz
Robert Nishihara
Ion Stoica
Sai Li
462
175
0
19 Nov 2015
Metric Learning with Adaptive Density Discrimination
Metric Learning with Adaptive Density Discrimination
Oren Rippel
Manohar Paluri
Piotr Dollar
Lubomir D. Bourdev
168
218
0
18 Nov 2015
Image Question Answering using Convolutional Neural Network with Dynamic
  Parameter Prediction
Image Question Answering using Convolutional Neural Network with Dynamic Parameter Prediction
Hyeonwoo Noh
Paul Hongsuck Seo
Bohyung Han
OOD
178
334
0
18 Nov 2015
Compositional Memory for Visual Question Answering
Compositional Memory for Visual Question Answering
Aiwen Jiang
Fang Wang
Fatih Porikli
Yi Li
CoGe
119
43
0
18 Nov 2015
Net2Net: Accelerating Learning via Knowledge Transfer
Net2Net: Accelerating Learning via Knowledge Transfer
Tianqi Chen
Ian Goodfellow
Jonathon Shlens
563
707
0
18 Nov 2015
Competitive Multi-scale Convolution
Competitive Multi-scale Convolution
Zhibin Liao
G. Carneiro
162
45
0
18 Nov 2015
Learning Structured Inference Neural Networks with Label Relations
Learning Structured Inference Neural Networks with Label Relations
Hexiang Hu
Guang-Tong Zhou
Zhiwei Deng
Zicheng Liao
Greg Mori
NAIBDL
334
129
0
17 Nov 2015
Identifying the Absorption Bump with Deep Learning
Identifying the Absorption Bump with Deep Learning
Min Li
Sudeep Gaddam
Xiaolin Li
Yinan Zhao
Jingzhe Ma
J. Ge
66
0
0
17 Nov 2015
Learning Neural Network Architectures using Backpropagation
Learning Neural Network Architectures using Backpropagation
Suraj Srinivas
R. Venkatesh Babu
AI4CE
186
30
0
17 Nov 2015
On the interplay of network structure and gradient convergence in deep
  learning
On the interplay of network structure and gradient convergence in deep learning
V. Ithapu
Sathya Ravi
Vikas Singh
381
3
0
17 Nov 2015
Classifying and Segmenting Microscopy Images Using Convolutional
  Multiple Instance Learning
Classifying and Segmenting Microscopy Images Using Convolutional Multiple Instance Learning
Oren Z. Kraus
Lei Jimmy Ba
B. Frey
326
407
0
17 Nov 2015
Reduced-Precision Strategies for Bounded Memory in Deep Neural Nets
Reduced-Precision Strategies for Bounded Memory in Deep Neural Nets
Patrick Judd
Jorge Albericio
Tayler H. Hetherington
Tor M. Aamodt
Natalie D. Enright Jerger
R. Urtasun
Andreas Moshovos
174
102
0
17 Nov 2015
Ask, Attend and Answer: Exploring Question-Guided Spatial Attention for
  Visual Question Answering
Ask, Attend and Answer: Exploring Question-Guided Spatial Attention for Visual Question Answering
Huijuan Xu
Kate Saenko
383
780
0
17 Nov 2015
Adversarial Manipulation of Deep Representations
Adversarial Manipulation of Deep Representations
S. Sabour
Yanshuai Cao
Fartash Faghri
David J. Fleet
GANAAML
721
291
0
16 Nov 2015
Sherlock: Scalable Fact Learning in Images
Sherlock: Scalable Fact Learning in Images
Mohamed Elhoseiny
Scott D. Cohen
W. Chang
Brian L. Price
Ahmed Elgammal
214
26
0
16 Nov 2015
Heterogeneous Knowledge Transfer in Video Emotion Recognition,
  Attribution and Summarization
Heterogeneous Knowledge Transfer in Video Emotion Recognition, Attribution and Summarization
Baohan Xu
Yanwei Fu
Yu-Gang Jiang
Boyang Albert Li
Leonid Sigal
254
114
0
16 Nov 2015
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