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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 / 7,731 papers shown
Title
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
NAI
BDL
21
125
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
17
759
0
17 Nov 2015
An Exploration of Softmax Alternatives Belonging to the Spherical Loss
  Family
An Exploration of Softmax Alternatives Belonging to the Spherical Loss Family
A. D. Brébisson
Pascal Vincent
6
97
0
16 Nov 2015
Accurate Image Super-Resolution Using Very Deep Convolutional Networks
Accurate Image Super-Resolution Using Very Deep Convolutional Networks
Jiwon Kim
Jung Kwon Lee
Kyoung Mu Lee
SupR
18
6,122
0
14 Nov 2015
Deeply-Recursive Convolutional Network for Image Super-Resolution
Deeply-Recursive Convolutional Network for Image Super-Resolution
Jiwon Kim
Jung Kwon Lee
Kyoung Mu Lee
SupR
13
2,485
0
14 Nov 2015
Unsupervised Learning of Edges
Unsupervised Learning of Edges
Yin Li
Manohar Paluri
James M. Rehg
Piotr Dollár
SSL
19
91
0
13 Nov 2015
Visual7W: Grounded Question Answering in Images
Visual7W: Grounded Question Answering in Images
Yuke Zhu
Oliver Groth
Michael S. Bernstein
Li Fei-Fei
11
871
0
11 Nov 2015
Generating Images from Captions with Attention
Generating Images from Captions with Attention
Elman Mansimov
Emilio Parisotto
Jimmy Lei Ba
Ruslan Salakhutdinov
VLM
21
446
0
09 Nov 2015
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
432
15,595
0
02 Nov 2015
Learning Multi-Domain Convolutional Neural Networks for Visual Tracking
Learning Multi-Domain Convolutional Neural Networks for Visual Tracking
Hyeonseob Nam
Bohyung Han
14
2,460
0
27 Oct 2015
Video Paragraph Captioning Using Hierarchical Recurrent Neural Networks
Video Paragraph Captioning Using Hierarchical Recurrent Neural Networks
Haonan Yu
Jiang Wang
Zhiheng Huang
Yi Yang
W. Xu
22
559
0
26 Oct 2015
Aggregating Deep Convolutional Features for Image Retrieval
Aggregating Deep Convolutional Features for Image Retrieval
Artem Babenko
Victor Lempitsky
FAtt
9
689
0
26 Oct 2015
No Spare Parts: Sharing Part Detectors for Image Categorization
No Spare Parts: Sharing Part Detectors for Image Categorization
Pascal Mettes
J. C. V. Gemert
Cees G. M. Snoek
19
12
0
16 Oct 2015
Approximate Fisher Kernels of non-iid Image Models for Image
  Categorization
Approximate Fisher Kernels of non-iid Image Models for Image Categorization
R. G. Cinbis
Jakob Verbeek
Cordelia Schmid
19
30
0
03 Oct 2015
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained
  Quantization and Huffman Coding
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding
Song Han
Huizi Mao
W. Dally
3DGS
7
8,712
0
01 Oct 2015
Feature Evaluation of Deep Convolutional Neural Networks for Object
  Recognition and Detection
Feature Evaluation of Deep Convolutional Neural Networks for Object Recognition and Detection
Hirokatsu Kataoka
K. Iwata
Y. Satoh
ObjD
17
19
0
25 Sep 2015
Guiding Long-Short Term Memory for Image Caption Generation
Guiding Long-Short Term Memory for Image Caption Generation
Xu Jia
E. Gavves
Basura Fernando
Tinne Tuytelaars
VLM
6
101
0
16 Sep 2015
DenseBox: Unifying Landmark Localization with End to End Object
  Detection
DenseBox: Unifying Landmark Localization with End to End Object Detection
Lichao Huang
Yi Yang
Yafeng Deng
Yinan Yu
ObjD
14
459
0
16 Sep 2015
Learning Contextual Dependencies with Convolutional Hierarchical
  Recurrent Neural Networks
Learning Contextual Dependencies with Convolutional Hierarchical Recurrent Neural Networks
Zhen Zuo
Bing Shuai
G. Wang
Xiao Liu
Xingxing Wang
B. Wang
9
93
0
13 Sep 2015
Hierarchical Deep Learning Architecture For 10K Objects Classification
Hierarchical Deep Learning Architecture For 10K Objects Classification
A. Katole
Krishna Prasad Yellapragada
A. K. Bedi
S. S. Kalra
M. S. Chaitanya
BDL
OCL
11
25
0
07 Sep 2015
Semantic Amodal Segmentation
Semantic Amodal Segmentation
Yan Zhu
Yuandong Tian
Dimitris N. Metaxas
Piotr Dollár
VLM
14
170
0
04 Sep 2015
Deep Networks Can Resemble Human Feed-forward Vision in Invariant Object
  Recognition
Deep Networks Can Resemble Human Feed-forward Vision in Invariant Object Recognition
Saeed Reza Kheradpisheh
M. Ghodrati
M. Ganjtabesh
T. Masquelier
14
175
0
17 Aug 2015
Compression of Fully-Connected Layer in Neural Network by Kronecker
  Product
Compression of Fully-Connected Layer in Neural Network by Kronecker Product
Shuchang Zhou
Jia-Nan Wu
23
26
0
21 Jul 2015
Describing Multimedia Content using Attention-based Encoder--Decoder
  Networks
Describing Multimedia Content using Attention-based Encoder--Decoder Networks
Kyunghyun Cho
Aaron Courville
Yoshua Bengio
21
410
0
04 Jul 2015
Deep CNN Ensemble with Data Augmentation for Object Detection
Deep CNN Ensemble with Data Augmentation for Object Detection
Jian Guo
Stephen Gould
ObjD
15
60
0
24 Jun 2015
R-CNN minus R
R-CNN minus R
Karel Lenc
Andrea Vedaldi
ObjD
29
94
0
23 Jun 2015
Aligning where to see and what to tell: image caption with region-based
  attention and scene factorization
Aligning where to see and what to tell: image caption with region-based attention and scene factorization
Junqi Jin
Kun Fu
Runpeng Cui
Fei Sha
Changshui Zhang
18
117
0
20 Jun 2015
Slow and steady feature analysis: higher order temporal coherence in
  video
Slow and steady feature analysis: higher order temporal coherence in video
Dinesh Jayaraman
Kristen Grauman
16
142
0
15 Jun 2015
Learning language through pictures
Learning language through pictures
Grzegorz Chrupała
Ákos Kádár
A. Alishahi
VLM
SSL
19
65
0
11 Jun 2015
Learning to Select Pre-Trained Deep Representations with Bayesian
  Evidence Framework
Learning to Select Pre-Trained Deep Representations with Bayesian Evidence Framework
Yong-Deok Kim
Taewoong Jang
Bohyung Han
Seungjin Choi
BDL
18
14
0
08 Jun 2015
Deeply Learning the Messages in Message Passing Inference
Deeply Learning the Messages in Message Passing Inference
Guosheng Lin
Chunhua Shen
Ian Reid
A. Hengel
3DV
30
63
0
06 Jun 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal
  Networks
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren
Kaiming He
Ross B. Girshick
Jian-jun Sun
AIMat
ObjD
14
61,384
0
04 Jun 2015
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Robust
  Semantic Pixel-Wise Labelling
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Robust Semantic Pixel-Wise Labelling
Vijay Badrinarayanan
Ankur Handa
R. Cipolla
SSeg
161
788
0
27 May 2015
Are You Talking to a Machine? Dataset and Methods for Multilingual Image
  Question Answering
Are You Talking to a Machine? Dataset and Methods for Multilingual Image Question Answering
Haoyuan Gao
Junhua Mao
Jie Zhou
Zhiheng Huang
Lei Wang
W. Xu
21
497
0
21 May 2015
Action Recognition with Trajectory-Pooled Deep-Convolutional Descriptors
Action Recognition with Trajectory-Pooled Deep-Convolutional Descriptors
Limin Wang
Yu Qiao
Xiaoou Tang
14
1,154
0
19 May 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
232
75,445
0
18 May 2015
DeepBox: Learning Objectness with Convolutional Networks
DeepBox: Learning Objectness with Convolutional Networks
Weicheng Kuo
Bharath Hariharan
Jitendra Malik
ObjD
14
184
0
08 May 2015
Jointly Modeling Embedding and Translation to Bridge Video and Language
Jointly Modeling Embedding and Translation to Bridge Video and Language
Yingwei Pan
Tao Mei
Ting Yao
Houqiang Li
Y. Rui
19
534
0
07 May 2015
Language Models for Image Captioning: The Quirks and What Works
Language Models for Image Captioning: The Quirks and What Works
Jacob Devlin
Hao Cheng
Hao Fang
Saurabh Gupta
Li Deng
Xiaodong He
Geoffrey Zweig
Margaret Mitchell
14
280
0
07 May 2015
Webly Supervised Learning of Convolutional Networks
Webly Supervised Learning of Convolutional Networks
Xinlei Chen
Abhinav Gupta
SSL
13
371
0
07 May 2015
Contextual Action Recognition with R*CNN
Contextual Action Recognition with R*CNN
Georgia Gkioxari
Ross B. Girshick
Jitendra Malik
HAI
18
401
0
05 May 2015
Deep Learning for Object Saliency Detection and Image Segmentation
Deep Learning for Object Saliency Detection and Image Segmentation
H. Pan
Bo Wang
Hui Jiang
22
18
0
05 May 2015
Ask Your Neurons: A Neural-based Approach to Answering Questions about
  Images
Ask Your Neurons: A Neural-based Approach to Answering Questions about Images
Mateusz Malinowski
Marcus Rohrbach
Mario Fritz
14
596
0
05 May 2015
Multi-view Convolutional Neural Networks for 3D Shape Recognition
Multi-view Convolutional Neural Networks for 3D Shape Recognition
Hang Su
Subhransu Maji
E. Kalogerakis
Erik Learned-Miller
3DV
16
3,178
0
05 May 2015
VQA: Visual Question Answering
VQA: Visual Question Answering
Aishwarya Agrawal
Jiasen Lu
Stanislaw Antol
Margaret Mitchell
C. L. Zitnick
Dhruv Batra
Devi Parikh
CoGe
11
5,355
0
03 May 2015
Highway Networks
Highway Networks
R. Srivastava
Klaus Greff
Jürgen Schmidhuber
26
1,751
0
03 May 2015
Learning Temporal Embeddings for Complex Video Analysis
Learning Temporal Embeddings for Complex Video Analysis
Vignesh Ramanathan
K. Tang
Greg Mori
Li Fei-Fei
13
71
0
02 May 2015
Joint Object and Part Segmentation using Deep Learned Potentials
Joint Object and Part Segmentation using Deep Learned Potentials
Peng Wang
Xiaohui Shen
Zhe-nan Lin
Scott D. Cohen
Brian L. Price
Alan Yuille
19
123
0
01 May 2015
Pose Induction for Novel Object Categories
Pose Induction for Novel Object Categories
Shubham Tulsiani
João Carreira
Jitendra Malik
16
35
0
01 May 2015
Deep Neural Networks with Random Gaussian Weights: A Universal
  Classification Strategy?
Deep Neural Networks with Random Gaussian Weights: A Universal Classification Strategy?
Raja Giryes
Guillermo Sapiro
A. Bronstein
35
186
0
30 Apr 2015
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