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Very Deep Convolutional Networks for Large-Scale Image Recognition
v1v2v3v4v5v6 (latest)

Very Deep Convolutional Networks for Large-Scale Image Recognition

4 September 2014
Karen Simonyan
Andrew Zisserman
    FAttMDE
ArXiv (abs)PDFHTML

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

50 / 18,892 papers shown
Title
Deep-Geometric 6 DoF Localization from a Single Image in Topo-metric
  Maps
Deep-Geometric 6 DoF Localization from a Single Image in Topo-metric Maps
Tom Roussel
Punarjay Chakravarty
Gaurav Pandey
Tinne Tuytelaars
L. V. Eycken
54
2
0
04 Feb 2020
Efficient Riemannian Optimization on the Stiefel Manifold via the Cayley
  Transform
Efficient Riemannian Optimization on the Stiefel Manifold via the Cayley Transform
Jun Li
Fuxin Li
S. Todorovic
86
107
0
04 Feb 2020
Defending Adversarial Attacks via Semantic Feature Manipulation
Defending Adversarial Attacks via Semantic Feature Manipulation
Shuo Wang
Tianle Chen
Surya Nepal
Carsten Rudolph
M. Grobler
Shangyu Chen
AAML
51
7
0
03 Feb 2020
Scoring Graspability based on Grasp Regression for Better Grasp
  Prediction
Scoring Graspability based on Grasp Regression for Better Grasp Prediction
Amaury Depierre
Emmanuel Dellandrea
Liming Chen
42
16
0
03 Feb 2020
Evaluating Saliency Map Explanations for Convolutional Neural Networks:
  A User Study
Evaluating Saliency Map Explanations for Convolutional Neural Networks: A User Study
Ahmed Alqaraawi
M. Schuessler
Philipp Weiß
Enrico Costanza
N. Bianchi-Berthouze
AAMLFAttXAI
72
200
0
03 Feb 2020
Exponential discretization of weights of neural network connections in
  pre-trained neural networks
Exponential discretization of weights of neural network connections in pre-trained neural networks
M. Malsagov
E. Khayrov
M. Pushkareva
I. Karandashev
16
5
0
03 Feb 2020
Super-resolution of multispectral satellite images using convolutional
  neural networks
Super-resolution of multispectral satellite images using convolutional neural networks
Markus U. Müller
N. Ekhtiari
Rodrigo M. Almeida
Christoph Rieke
SupR
36
46
0
03 Feb 2020
DWM: A Decomposable Winograd Method for Convolution Acceleration
DWM: A Decomposable Winograd Method for Convolution Acceleration
Di Huang
Xishan Zhang
Rui Zhang
Tian Zhi
Deyuan He
...
Qi Guo
Zidong Du
Shaoli Liu
Tianshi Chen
Yunji Chen
40
26
0
03 Feb 2020
DANCE: Enhancing saliency maps using decoys
DANCE: Enhancing saliency maps using decoys
Y. Lu
Wenbo Guo
Masashi Sugiyama
William Stafford Noble
AAML
85
14
0
03 Feb 2020
Automatic Pruning for Quantized Neural Networks
Automatic Pruning for Quantized Neural Networks
Luis Guerra
Bohan Zhuang
Ian Reid
Tom Drummond
MQ
36
21
0
03 Feb 2020
Non-linear Neurons with Human-like Apical Dendrite Activations
Non-linear Neurons with Human-like Apical Dendrite Activations
Mariana-Iuliana Georgescu
Radu Tudor Ionescu
Nicolae-Cătălin Ristea
N. Sebe
83
21
0
02 Feb 2020
3D Shape Segmentation with Geometric Deep Learning
3D Shape Segmentation with Geometric Deep Learning
Davide Boscaini
Fabio Poiesi
3DV3DPC
41
2
0
02 Feb 2020
Towards Deep Machine Reasoning: a Prototype-based Deep Neural Network
  with Decision Tree Inference
Towards Deep Machine Reasoning: a Prototype-based Deep Neural Network with Decision Tree Inference
Plamen Angelov
Eduardo Soares
44
14
0
02 Feb 2020
Few-Shot Scene Adaptive Crowd Counting Using Meta-Learning
Few-Shot Scene Adaptive Crowd Counting Using Meta-Learning
Mahesh Kumar Krishna Reddy
M. Hossain
Mrigank Rochan
Yang Wang
65
40
0
01 Feb 2020
Deeply Activated Salient Region for Instance Search
Deeply Activated Salient Region for Instance Search
Hui-Chu Xiao
Wanlei Zhao
Jie Lin
Chong-Wah Ngo
65
8
0
01 Feb 2020
UIT-ViIC: A Dataset for the First Evaluation on Vietnamese Image
  Captioning
UIT-ViIC: A Dataset for the First Evaluation on Vietnamese Image Captioning
Q. Lam
Q. Le
Kiet Van Nguyen
Ngan Luu-Thuy Nguyen
77
19
0
01 Feb 2020
Better Compression with Deep Pre-Editing
Better Compression with Deep Pre-Editing
Hossein Talebi
D. Kelly
Xiyang Luo
Ignacio Garcia Dorado
Feng Yang
P. Milanfar
Michael Elad
97
24
0
01 Feb 2020
Post-Training Piecewise Linear Quantization for Deep Neural Networks
Post-Training Piecewise Linear Quantization for Deep Neural Networks
Jun Fang
Ali Shafiee
Hamzah Abdel-Aziz
D. Thorsley
Georgios Georgiadis
Joseph Hassoun
MQ
106
148
0
31 Jan 2020
Automated quantification of myocardial tissue characteristics from
  native T1 mapping using neural networks with Bayesian inference for
  uncertainty-based quality-control
Automated quantification of myocardial tissue characteristics from native T1 mapping using neural networks with Bayesian inference for uncertainty-based quality-control
Esther Puyol-Antón
B. Ruijsink
Christian F. Baumgartner
Matthew Sinclair
E. Konukoglu
Reza Razavi
A. King
44
33
0
31 Jan 2020
Augmenting Visual Question Answering with Semantic Frame Information in
  a Multitask Learning Approach
Augmenting Visual Question Answering with Semantic Frame Information in a Multitask Learning Approach
Mehrdad Alizadeh
Barbara Di Eugenio
18
3
0
31 Jan 2020
Towards the Systematic Reporting of the Energy and Carbon Footprints of
  Machine Learning
Towards the Systematic Reporting of the Energy and Carbon Footprints of Machine Learning
Peter Henderson
Jie Hu
Joshua Romoff
Emma Brunskill
Dan Jurafsky
Joelle Pineau
106
459
0
31 Jan 2020
Search for Better Students to Learn Distilled Knowledge
Search for Better Students to Learn Distilled Knowledge
Jindong Gu
Volker Tresp
52
19
0
30 Jan 2020
Towards a Kernel based Uncertainty Decomposition Framework for Data and
  Models
Towards a Kernel based Uncertainty Decomposition Framework for Data and Models
Rishabh Singh
José C. Príncipe
UQCVUD
52
8
0
30 Jan 2020
ERA: A Dataset and Deep Learning Benchmark for Event Recognition in
  Aerial Videos
ERA: A Dataset and Deep Learning Benchmark for Event Recognition in Aerial Videos
Lichao Mou
Yuansheng Hua
P. Jin
Xiaoxiang Zhu
AI4TS
119
44
0
30 Jan 2020
Black-Box Saliency Map Generation Using Bayesian Optimisation
Black-Box Saliency Map Generation Using Bayesian Optimisation
Mamuku Mokuwe
Michael G. Burke
Anna Sergeevna Bosman
FAtt
34
4
0
30 Jan 2020
How Does BN Increase Collapsed Neural Network Filters?
How Does BN Increase Collapsed Neural Network Filters?
Sheng Zhou
Xinjiang Wang
Ping Luo
Xue Jiang
Wenjie Li
Wei Zhang
45
1
0
30 Jan 2020
2018 Robotic Scene Segmentation Challenge
2018 Robotic Scene Segmentation Challenge
M. Allan
S. Kondo
S. Bodenstedt
S. Leger
Rahim Kadkhodamohammadi
...
Sang Hyun Park
M. Azizian
Danail Stoyanov
Lena Maier-Hein
Stefanie Speidel
92
136
0
30 Jan 2020
Adversarial Incremental Learning
Ankur Singh
CLL
25
1
0
30 Jan 2020
Learn to Predict Sets Using Feed-Forward Neural Networks
Learn to Predict Sets Using Feed-Forward Neural Networks
H. Rezatofighi
Tianyu Zhu
Roman Kaskman
F. Motlagh
Javen Qinfeng Shi
Anton Milan
Daniel Cremers
Laura Leal-Taixé
Ian Reid
SSL
122
15
0
30 Jan 2020
Evaluating the Progress of Deep Learning for Visual Relational Concepts
Evaluating the Progress of Deep Learning for Visual Relational Concepts
Sebastian Stabinger
Peer David
J. Piater
A. Rodríguez-Sánchez
79
19
0
29 Jan 2020
Pre-defined Sparsity for Low-Complexity Convolutional Neural Networks
Pre-defined Sparsity for Low-Complexity Convolutional Neural Networks
Souvik Kundu
M. Nazemi
Massoud Pedram
K. Chugg
Peter A. Beerel
CVBM
77
36
0
29 Jan 2020
Assistive Relative Pose Estimation for On-orbit Assembly using
  Convolutional Neural Networks
Assistive Relative Pose Estimation for On-orbit Assembly using Convolutional Neural Networks
Shubham D. Sonawani
R. Alimo
Renaud Detry
Daniel Jeong
Andy Hess
H. B. Amor
116
24
0
29 Jan 2020
MSE-Optimal Neural Network Initialization via Layer Fusion
MSE-Optimal Neural Network Initialization via Layer Fusion
Ramina Ghods
Andrew Lan
Tom Goldstein
Christoph Studer
FedML
23
1
0
28 Jan 2020
Rich-Item Recommendations for Rich-Users: Exploiting Dynamic and Static
  Side Information
Rich-Item Recommendations for Rich-Users: Exploiting Dynamic and Static Side Information
A. Budhiraja
Gaurush Hiranandani
Darshak Chhatbar
Aditya Sinha
Navya Yarrabelly
Ayush Choure
Oluwasanmi Koyejo
Prateek Jain
62
4
0
28 Jan 2020
Robust Method for Semantic Segmentation of Whole-Slide Blood Cell
  Microscopic Image
Robust Method for Semantic Segmentation of Whole-Slide Blood Cell Microscopic Image
Muhammad Shahzad
A. I. Umar
M. Khan
S. H. Shirazi
Zakir Khan
Waqas Yousaf
24
48
0
28 Jan 2020
Towards Open-Set Semantic Segmentation of Aerial Images
Towards Open-Set Semantic Segmentation of Aerial Images
C. Silva
Keiller Nogueira
Hugo Oliveira
J. A. dos Santos
54
20
0
27 Jan 2020
Breast mass segmentation based on ultrasonic entropy maps and attention
  gated U-Net
Breast mass segmentation based on ultrasonic entropy maps and attention gated U-Net
Michal Byra
Piotr Jarosik
K. Dobruch-Sobczak
Z. Klimonda
H. Piotrzkowska-Wróblewska
J. Litniewski
A. Nowicki
37
8
0
27 Jan 2020
Near real-time map building with multi-class image set labelling and
  classification of road conditions using convolutional neural networks
Near real-time map building with multi-class image set labelling and classification of road conditions using convolutional neural networks
S. Ramanna
Cenker Sengoz
S. Kehler
D. Pham
44
13
0
27 Jan 2020
Depthwise-STFT based separable Convolutional Neural Networks
Depthwise-STFT based separable Convolutional Neural Networks
Sudhakar Kumawat
Shanmuganathan Raman
OODMDE
50
5
0
27 Jan 2020
Deep Graph Matching Consensus
Deep Graph Matching Consensus
Matthias Fey
J. E. Lenssen
Christopher Morris
Jonathan Masci
Nils M. Kriege
83
212
0
27 Jan 2020
Convolution Neural Network Architecture Learning for Remote Sensing
  Scene Classification
Convolution Neural Network Architecture Learning for Remote Sensing Scene Classification
Jie Chen
Haozhe Huang
Jian Peng
Jiawei Zhu
Li Chen
Wenbo Li
Bingyu Sun
Haifeng Li
51
14
0
27 Jan 2020
SafeNet: An Assistive Solution to Assess Incoming Threats for Premises
SafeNet: An Assistive Solution to Assess Incoming Threats for Premises
Shahinur Alam
M. Mahmud
M. Yeasin
18
0
0
27 Jan 2020
Abdominal multi-organ segmentation with cascaded convolutional and
  adversarial deep networks
Abdominal multi-organ segmentation with cascaded convolutional and adversarial deep networks
Pierre-Henri Conze
A. Emre Kavur
E. Gall
N. Gezer
Y. Meur
M. Alper Selver
F. Rousseau
SSegMedIm
65
104
0
26 Jan 2020
Brain Metastasis Segmentation Network Trained with Robustness to
  Annotations with Multiple False Negatives
Brain Metastasis Segmentation Network Trained with Robustness to Annotations with Multiple False Negatives
Darvin Yi
E. Grøvik
Michael Iv
E. Tong
Greg Zaharchuk
D. Rubin
OOD
54
2
0
26 Jan 2020
Kidnapped Radar: Topological Radar Localisation using
  Rotationally-Invariant Metric Learning
Kidnapped Radar: Topological Radar Localisation using Rotationally-Invariant Metric Learning
cStefan Suaftescu
Matthew Gadd
D. Martini
Dan Barnes
Paul Newman
65
70
0
26 Jan 2020
Point-of-Care Diabetic Retinopathy Diagnosis: A Standalone Mobile
  Application Approach
Point-of-Care Diabetic Retinopathy Diagnosis: A Standalone Mobile Application Approach
Misgina Tsighe Hagos
48
3
0
26 Jan 2020
SDOD:Real-time Segmenting and Detecting 3D Object by Depth
SDOD:Real-time Segmenting and Detecting 3D Object by Depth
Yong Wu
Caiyi Xu
J. Xing
Yafei Ning
Yonghong Chen
3DPC
24
1
0
26 Jan 2020
Curriculum Audiovisual Learning
Curriculum Audiovisual Learning
Di Hu
Zechuan Wang
Haoyi Xiong
Dong Wang
Feiping Nie
Dejing Dou
SSL
58
32
0
26 Jan 2020
NLocalSAT: Boosting Local Search with Solution Prediction
NLocalSAT: Boosting Local Search with Solution Prediction
Wenjie Zhang
Zeyu Sun
Qihao Zhu
Ge Li
Shaowei Cai
Yingfei Xiong
Lu Zhang
66
56
0
26 Jan 2020
Towards High Performance Low Complexity Calibration in Appearance Based
  Gaze Estimation
Towards High Performance Low Complexity Calibration in Appearance Based Gaze Estimation
Zhaokang Chen
Bertram E. Shi
CVBM
68
23
0
25 Jan 2020
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