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Very Deep Convolutional Networks for Large-Scale Image Recognition

Very Deep Convolutional Networks for Large-Scale Image Recognition

4 September 2014
Karen Simonyan
Andrew Zisserman
    FAtt
    MDE
ArXivPDFHTML

Papers citing "Very Deep Convolutional Networks for Large-Scale Image Recognition"

50 / 10,172 papers shown
Title
Going Deeper with Contextual CNN for Hyperspectral Image Classification
Going Deeper with Contextual CNN for Hyperspectral Image Classification
Hyungtae Lee
H. Kwon
11
789
0
12 Apr 2016
CRAFT Objects from Images
CRAFT Objects from Images
Bin Yang
Junjie Yan
Zhen Lei
Stan Z. Li
ObjD
19
123
0
12 Apr 2016
Using Deep Learning for Image-Based Plant Disease Detection
Using Deep Learning for Image-Based Plant Disease Detection
Sharada Mohanty
David P. Hughes
M. Salathé
6
3,039
0
11 Apr 2016
Real-Time Facial Segmentation and Performance Capture from RGB Input
Real-Time Facial Segmentation and Performance Capture from RGB Input
Shunsuke Saito
Tianye Li
Hao Li
3DH
CVBM
9
132
0
10 Apr 2016
Scene-driven Retrieval in Edited Videos using Aesthetic and Semantic
  Deep Features
Scene-driven Retrieval in Edited Videos using Aesthetic and Semantic Deep Features
Lorenzo Baraldi
C. Grana
Rita Cucchiara
14
9
0
09 Apr 2016
T-CNN: Tubelets with Convolutional Neural Networks for Object Detection
  from Videos
T-CNN: Tubelets with Convolutional Neural Networks for Object Detection from Videos
Kai Kang
Hongsheng Li
Junjie Yan
Xingyu Zeng
Binh Yang
...
Cong Zhang
Zhe Wang
Ruohui Wang
Xiaogang Wang
Wanli Ouyang
ObjD
27
478
0
09 Apr 2016
Person Re-identification in the Wild
Person Re-identification in the Wild
Liang Zheng
Hengheng Zhang
Shaoyan Sun
Manmohan Chandraker
Yi Yang
Q. Tian
11
681
0
09 Apr 2016
CNN Image Retrieval Learns from BoW: Unsupervised Fine-Tuning with Hard
  Examples
CNN Image Retrieval Learns from BoW: Unsupervised Fine-Tuning with Hard Examples
Filip Radenovic
Giorgos Tolias
Ondřej Chum
SSL
13
598
0
08 Apr 2016
Deep Cross Residual Learning for Multitask Visual Recognition
Deep Cross Residual Learning for Multitask Visual Recognition
Brendan Jou
Shih-Fu Chang
ObjD
26
91
0
05 Apr 2016
Deep Image Retrieval: Learning global representations for image search
Deep Image Retrieval: Learning global representations for image search
Albert Gordo
Jon Almazán
Jérôme Revaud
Diane Larlus
23
801
0
05 Apr 2016
Clustering Millions of Faces by Identity
Clustering Millions of Faces by Identity
C. Otto
Dayong Wang
Anil K. Jain
CVBM
20
173
0
04 Apr 2016
Leaving Some Stones Unturned: Dynamic Feature Prioritization for
  Activity Detection in Streaming Video
Leaving Some Stones Unturned: Dynamic Feature Prioritization for Activity Detection in Streaming Video
Yu-Chuan Su
Kristen Grauman
16
30
0
01 Apr 2016
Good Practice in CNN Feature Transfer
Good Practice in CNN Feature Transfer
Liang Zheng
Yali Zhao
Shengjin Wang
Jingdong Wang
Q. Tian
30
160
0
01 Apr 2016
Accurate Text Localization in Natural Image with Cascaded Convolutional
  Text Network
Accurate Text Localization in Natural Image with Cascaded Convolutional Text Network
Tong He
Weilin Huang
Yu Qiao
Jian Yao
21
81
0
31 Mar 2016
Deep Networks with Stochastic Depth
Deep Networks with Stochastic Depth
Gao Huang
Yu Sun
Zhuang Liu
Daniel Sedra
Kilian Q. Weinberger
41
2,336
0
30 Mar 2016
Unsupervised Visual Sense Disambiguation for Verbs using Multimodal
  Embeddings
Unsupervised Visual Sense Disambiguation for Verbs using Multimodal Embeddings
Spandana Gella
Mirella Lapata
Frank Keller
CoGe
16
52
0
30 Mar 2016
Structured Feature Learning for Pose Estimation
Structured Feature Learning for Pose Estimation
Xiao Chu
Wanli Ouyang
Hongsheng Li
Xiaogang Wang
3DH
6
252
0
30 Mar 2016
Rich Image Captioning in the Wild
Rich Image Captioning in the Wild
Kenneth Tran
Xiaodong He
Lei Zhang
Jian Sun
Cornelia Carapcea
Chris Thrasher
Chris Buehler
Chris Sienkiewicz
VLM
19
123
0
30 Mar 2016
Learning a Predictable and Generative Vector Representation for Objects
Learning a Predictable and Generative Vector Representation for Objects
Rohit Girdhar
David Fouhey
Mikel D. Rodriguez
Abhinav Gupta
3DV
34
708
0
29 Mar 2016
Learning to Read Chest X-Rays: Recurrent Neural Cascade Model for
  Automated Image Annotation
Learning to Read Chest X-Rays: Recurrent Neural Cascade Model for Automated Image Annotation
Hoo-Chang Shin
Kirk Roberts
Le Lu
Dina Demner-Fushman
Jianhua Yao
Ronald M. Summers
16
347
0
28 Mar 2016
Human Pose Estimation using Deep Consensus Voting
Human Pose Estimation using Deep Consensus Voting
Ita Lifshitz
Ethan Fetaya
S. Ullman
3DH
19
158
0
27 Mar 2016
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
Justin Johnson
Alexandre Alahi
Li Fei-Fei
SupR
30
10,156
0
27 Mar 2016
Unsupervised Category Discovery via Looped Deep Pseudo-Task Optimization
  Using a Large Scale Radiology Image Database
Unsupervised Category Discovery via Looped Deep Pseudo-Task Optimization Using a Large Scale Radiology Image Database
Xiaosong Wang
Le Lu
Hoo-Chang Shin
Lauren Kim
Isabella Nogues
Jianhua Yao
Ronald M. Summers
19
16
0
25 Mar 2016
Early Detection of Combustion Instabilities using Deep Convolutional
  Selective Autoencoders on Hi-speed Flame Video
Early Detection of Combustion Instabilities using Deep Convolutional Selective Autoencoders on Hi-speed Flame Video
Chandrayee Basu
Qian Yang
M. Singhal
Anca Dragan
51
174
0
25 Mar 2016
Simple Does It: Weakly Supervised Instance and Semantic Segmentation
Simple Does It: Weakly Supervised Instance and Semantic Segmentation
Anna Khoreva
Rodrigo Benenson
J. Hosang
Matthias Hein
Bernt Schiele
WSOD
VLM
ISeg
16
741
0
24 Mar 2016
Deep Extreme Feature Extraction: New MVA Method for Searching Particles
  in High Energy Physics
Deep Extreme Feature Extraction: New MVA Method for Searching Particles in High Energy Physics
Chao Ma
Tianchenghou
Bin Lan
Jinhui Xu
Zhenhua Zhang
14
0
0
24 Mar 2016
Attentive Contexts for Object Detection
Attentive Contexts for Object Detection
Jianan Li
Yunchao Wei
Xiaodan Liang
Jian Dong
Tingfa Xu
Jiashi Feng
Shuicheng Yan
ObjD
17
221
0
24 Mar 2016
Face Recognition Using Deep Multi-Pose Representations
Face Recognition Using Deep Multi-Pose Representations
Wael Abd-Almageed
Yue Wu
Stephen Rawls
Shai Harel
Tal Hassner
...
J. Leksut
Jungyeon Kim
Premkumar Natarajan
Ram Nevatia
Gérard Medioni
CVBM
23
149
0
23 Mar 2016
Global-Local Face Upsampling Network
Global-Local Face Upsampling Network
Oncel Tuzel
Yuichi Taguchi
J. Hershey
CVBM
SupR
13
35
0
23 Mar 2016
Weakly-Supervised Semantic Segmentation using Motion Cues
Weakly-Supervised Semantic Segmentation using Motion Cues
P. Tokmakov
Alahari Karteek
Cordelia Schmid
16
56
0
23 Mar 2016
BreakingNews: Article Annotation by Image and Text Processing
BreakingNews: Article Annotation by Image and Text Processing
Arnau Ramisa
F. Yan
Francesc Moreno-Noguer
K. Mikolajczyk
21
105
0
23 Mar 2016
Fully Convolutional Attention Networks for Fine-Grained Recognition
Fully Convolutional Attention Networks for Fine-Grained Recognition
Xiao-Chang Liu
Tian Xia
Jiang Wang
Yi Yang
Feng Zhou
Yuanqing Lin
18
102
0
22 Mar 2016
Learning Representations for Automatic Colorization
Learning Representations for Automatic Colorization
Gustav Larsson
Michael Maire
Gregory Shakhnarovich
VLM
SSL
16
1,009
0
22 Mar 2016
Towards Automatic Wild Animal Monitoring: Identification of Animal
  Species in Camera-trap Images using Very Deep Convolutional Neural Networks
Towards Automatic Wild Animal Monitoring: Identification of Animal Species in Camera-trap Images using Very Deep Convolutional Neural Networks
Alex Gomez-Villa
Augusto Salazar
J. Vargas-Bonilla
20
299
0
20 Mar 2016
Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image
  Segmentation
Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image Segmentation
Alexander Kolesnikov
Christoph H. Lampert
SSeg
24
742
0
19 Mar 2016
Do Deep Convolutional Nets Really Need to be Deep and Convolutional?
Do Deep Convolutional Nets Really Need to be Deep and Convolutional?
G. Urban
Krzysztof J. Geras
Samira Ebrahimi Kahou
Ozlem Aslan
Shengjie Wang
R. Caruana
Abdel-rahman Mohamed
Matthai Philipose
Matthew Richardson
15
47
0
17 Mar 2016
Combining the Best of Convolutional Layers and Recurrent Layers: A
  Hybrid Network for Semantic Segmentation
Combining the Best of Convolutional Layers and Recurrent Layers: A Hybrid Network for Semantic Segmentation
Zhicheng Yan
H. M. Zhang
Yangqing Jia
Thomas Breuel
Yizhou Yu
SSeg
19
41
0
15 Mar 2016
Object Contour Detection with a Fully Convolutional Encoder-Decoder
  Network
Object Contour Detection with a Fully Convolutional Encoder-Decoder Network
Jimei Yang
Brian L. Price
Scott D. Cohen
Honglak Lee
Ming-Hsuan Yang
ObjD
16
365
0
15 Mar 2016
Pushing the Limits of Deep CNNs for Pedestrian Detection
Pushing the Limits of Deep CNNs for Pedestrian Detection
Qichang Hu
Peng Wang
Chunhua Shen
Anton van den Hengel
Fatih Porikli
6
94
0
15 Mar 2016
Pose for Action - Action for Pose
Pose for Action - Action for Pose
Umar Iqbal
Martin Garbade
Juergen Gall
24
100
0
13 Mar 2016
Robust Scene Text Recognition with Automatic Rectification
Robust Scene Text Recognition with Automatic Rectification
Baoguang Shi
Xinggang Wang
Pengyuan Lyu
Cong Yao
X. Bai
3DV
22
585
0
12 Mar 2016
Exploring Context with Deep Structured models for Semantic Segmentation
Exploring Context with Deep Structured models for Semantic Segmentation
Guosheng Lin
Chunhua Shen
Anton van den Hengel
Ian Reid
SSeg
96
125
0
10 Mar 2016
Image Captioning and Visual Question Answering Based on Attributes and
  External Knowledge
Image Captioning and Visual Question Answering Based on Attributes and External Knowledge
Qi Wu
Chunhua Shen
A. Hengel
Peng Wang
A. Dick
19
360
0
09 Mar 2016
Semantic Style Transfer and Turning Two-Bit Doodles into Fine Artworks
Semantic Style Transfer and Turning Two-Bit Doodles into Fine Artworks
A. Champandard
GAN
16
247
0
05 Mar 2016
Network Morphism
Network Morphism
Tao Wei
Changhu Wang
Y. Rui
C. L. P. Chen
21
176
0
05 Mar 2016
Dynamic Memory Networks for Visual and Textual Question Answering
Dynamic Memory Networks for Visual and Textual Question Answering
Caiming Xiong
Stephen Merity
R. Socher
20
753
0
04 Mar 2016
Decision Forests, Convolutional Networks and the Models in-Between
Decision Forests, Convolutional Networks and the Models in-Between
Yani Andrew Ioannou
D. Robertson
Darko Zikic
Peter Kontschieder
Jamie Shotton
Matthew Brown
A. Criminisi
14
88
0
03 Mar 2016
HyperFace: A Deep Multi-task Learning Framework for Face Detection,
  Landmark Localization, Pose Estimation, and Gender Recognition
HyperFace: A Deep Multi-task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition
Rajeev Ranjan
Vishal M. Patel
Rama Chellappa
CVBM
3DH
41
1,219
0
03 Mar 2016
Convolutional Neural Networks using Logarithmic Data Representation
Convolutional Neural Networks using Logarithmic Data Representation
Daisuke Miyashita
Edward H. Lee
B. Murmann
MQ
19
425
0
03 Mar 2016
Automatic learning of gait signatures for people identification
Automatic learning of gait signatures for people identification
F. M. Castro
M. Marín-Jiménez
Nicolás Guil Mata
N. P. D. L. Blanca
CVBM
14
96
0
03 Mar 2016
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