ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1409.1556
  4. Cited By
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 / 9,999 papers shown
Title
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
14
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
14
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
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
13
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
12
96
0
03 Mar 2016
Convolutional Rectifier Networks as Generalized Tensor Decompositions
Convolutional Rectifier Networks as Generalized Tensor Decompositions
Nadav Cohen
Amnon Shashua
20
152
0
01 Mar 2016
Representation of linguistic form and function in recurrent neural
  networks
Representation of linguistic form and function in recurrent neural networks
Ákos Kádár
Grzegorz Chrupała
A. Alishahi
24
162
0
29 Feb 2016
Seq-NMS for Video Object Detection
Seq-NMS for Video Object Detection
Wei Han
Pooya Khorrami
T. Paine
Prajit Ramachandran
Mohammad Babaeizadeh
Humphrey Shi
Jianan Li
Shuicheng Yan
Thomas S. Huang
24
300
0
26 Feb 2016
We don't need no bounding-boxes: Training object class detectors using
  only human verification
We don't need no bounding-boxes: Training object class detectors using only human verification
Dim P. Papadopoulos
J. Uijlings
Frank Keller
V. Ferrari
VLM
ObjD
26
138
0
26 Feb 2016
DeepSpark: A Spark-Based Distributed Deep Learning Framework for
  Commodity Clusters
DeepSpark: A Spark-Based Distributed Deep Learning Framework for Commodity Clusters
Hanjoo Kim
Jaehong Park
Jaehee Jang
Sungroh Yoon
BDL
32
37
0
26 Feb 2016
Inception-v4, Inception-ResNet and the Impact of Residual Connections on
  Learning
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
Christian Szegedy
Sergey Ioffe
Vincent Vanhoucke
Alexander A. Alemi
18
14,133
0
23 Feb 2016
On the Use of Deep Learning for Blind Image Quality Assessment
On the Use of Deep Learning for Blind Image Quality Assessment
Simone Bianco
Luigi Celona
Paolo Napoletano
Raimondo Schettini
VLM
16
336
0
17 Feb 2016
Exploiting Cyclic Symmetry in Convolutional Neural Networks
Exploiting Cyclic Symmetry in Convolutional Neural Networks
Sander Dieleman
J. Fauw
Koray Kavukcuoglu
18
363
0
08 Feb 2016
Binarized Neural Networks
Itay Hubara
Daniel Soudry
Ran El-Yaniv
MQ
32
1,351
0
08 Feb 2016
Leveraging Mid-Level Deep Representations For Predicting Face Attributes
  in the Wild
Leveraging Mid-Level Deep Representations For Predicting Face Attributes in the Wild
Yang Zhong
Josephine Sullivan
Haibo Li
3DH
CVBM
12
43
0
04 Feb 2016
Order-aware Convolutional Pooling for Video Based Action Recognition
Order-aware Convolutional Pooling for Video Based Action Recognition
Peng Wang
Lingqiao Liu
Chunhua Shen
Heng Tao Shen
24
25
0
31 Jan 2016
Discriminative Training of Deep Fully-connected Continuous CRF with
  Task-specific Loss
Discriminative Training of Deep Fully-connected Continuous CRF with Task-specific Loss
Fayao Liu
Guosheng Lin
Chunhua Shen
8
24
0
28 Jan 2016
Hough-CNN: Deep Learning for Segmentation of Deep Brain Regions in MRI
  and Ultrasound
Hough-CNN: Deep Learning for Segmentation of Deep Brain Regions in MRI and Ultrasound
Fausto Milletari
Seyed-Ahmad Ahmadi
Christine Kroll
A. Plate
Verena E. Rozanski
...
J. Levin
O. Dietrich
B. Ertl-Wagner
K. Boetzel
Nassir Navab
200
363
0
26 Jan 2016
Relief R-CNN : Utilizing Convolutional Features for Fast Object
  Detection
Relief R-CNN : Utilizing Convolutional Features for Fast Object Detection
Guiying Li
Junlong Liu
Chunhui Jiang
Liangpeng Zhang
Minlong Lin
Ke Tang
ObjD
29
7
0
25 Jan 2016
A Taxonomy of Deep Convolutional Neural Nets for Computer Vision
A Taxonomy of Deep Convolutional Neural Nets for Computer Vision
Suraj Srinivas
Ravi Kiran Sarvadevabhatla
Konda Reddy Mopuri
N. Prabhu
S. Kruthiventi
R. Venkatesh Babu
OOD
33
215
0
25 Jan 2016
Compositional Model based Fisher Vector Coding for Image Classification
Compositional Model based Fisher Vector Coding for Image Classification
Lingqiao Liu
Peng Wang
Chunhua Shen
Lei Wang
A. Hengel
Chao Wang
Heng Tao Shen
37
53
0
16 Jan 2016
Temporal Action Localization in Untrimmed Videos via Multi-stage CNNs
Temporal Action Localization in Untrimmed Videos via Multi-stage CNNs
Zheng Shou
Dongang Wang
Shih-Fu Chang
25
39
0
09 Jan 2016
Write a Classifier: Predicting Visual Classifiers from Unstructured Text
Write a Classifier: Predicting Visual Classifiers from Unstructured Text
Mohamed Elhoseiny
Ahmed Elgammal
Babak Saleh
20
41
0
31 Dec 2015
Learning Transferrable Knowledge for Semantic Segmentation with Deep
  Convolutional Neural Network
Learning Transferrable Knowledge for Semantic Segmentation with Deep Convolutional Neural Network
Seunghoon Hong
Junhyuk Oh
Bohyung Han
Honglak Lee
SSeg
16
173
0
24 Dec 2015
G-CNN: an Iterative Grid Based Object Detector
G-CNN: an Iterative Grid Based Object Detector
Mahyar Najibi
Mohammad Rastegari
L. Davis
ObjD
15
190
0
24 Dec 2015
Adaptive Object Detection Using Adjacency and Zoom Prediction
Adaptive Object Detection Using Adjacency and Zoom Prediction
Y. Lu
T. Javidi
Svetlana Lazebnik
ObjD
31
75
0
24 Dec 2015
Fine-grained Categorization and Dataset Bootstrapping using Deep Metric
  Learning with Humans in the Loop
Fine-grained Categorization and Dataset Bootstrapping using Deep Metric Learning with Humans in the Loop
Yin Cui
Feng Zhou
Yuanqing Lin
Serge J. Belongie
18
236
0
16 Dec 2015
Instance-aware Semantic Segmentation via Multi-task Network Cascades
Instance-aware Semantic Segmentation via Multi-task Network Cascades
Jifeng Dai
Kaiming He
Jian-jun Sun
SSeg
27
1,225
0
14 Dec 2015
Inside-Outside Net: Detecting Objects in Context with Skip Pooling and
  Recurrent Neural Networks
Inside-Outside Net: Detecting Objects in Context with Skip Pooling and Recurrent Neural Networks
Sean Bell
C. L. Zitnick
Kavita Bala
Ross B. Girshick
ObjD
29
1,204
0
14 Dec 2015
Action Recognition with Image Based CNN Features
Action Recognition with Image Based CNN Features
Mahdyar Ravanbakhsh
Hossein Mousavi
Mohammad Rastegari
Vittorio Murino
L. Davis
23
63
0
13 Dec 2015
Efficient Deep Feature Learning and Extraction via StochasticNets
Efficient Deep Feature Learning and Extraction via StochasticNets
M. Shafiee
P. Siva
Paul Fieguth
A. Wong
26
2
0
11 Dec 2015
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
X. Zhang
Shaoqing Ren
Jian-jun Sun
MedIm
66
191,136
0
10 Dec 2015
Previous
123...196197198199200
Next