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A Dilated Inception Network for Visual Saliency Prediction

A Dilated Inception Network for Visual Saliency Prediction

7 April 2019
Sheng Yang
Guosheng Lin
Qiuping Jiang
Weisi Lin
ArXivPDFHTML

Papers citing "A Dilated Inception Network for Visual Saliency Prediction"

30 / 30 papers shown
Title
Learning Markov Clustering Networks for Scene Text Detection
Learning Markov Clustering Networks for Scene Text Detection
Zichuan Liu
Guosheng Lin
Sheng Yang
Jiashi Feng
Weisi Lin
W. Goh
77
106
0
22 May 2018
End-to-End Saliency Mapping via Probability Distribution Prediction
End-to-End Saliency Mapping via Probability Distribution Prediction
Saumya Jetley
Naila Murray
E. Vig
49
148
0
05 Apr 2018
What Catches the Eye? Visualizing and Understanding Deep Saliency Models
What Catches the Eye? Visualizing and Understanding Deep Saliency Models
Sen He
Ali Borji
Yang Mi
N. Pugeault
FAtt
45
12
0
15 Mar 2018
Dual Path Networks
Dual Path Networks
Yunpeng Chen
Jianan Li
Huaxin Xiao
Xiaojie Jin
Shuicheng Yan
Jiashi Feng
89
829
0
06 Jul 2017
Dilated Residual Networks
Dilated Residual Networks
Feng Yu
V. Koltun
Thomas Funkhouser
MedIm
119
1,617
0
28 May 2017
Deep Visual Attention Prediction
Deep Visual Attention Prediction
Wenguan Wang
Jianbing Shen
MDE
57
586
0
07 May 2017
Visual Saliency Prediction Using a Mixture of Deep Neural Networks
Visual Saliency Prediction Using a Mixture of Deep Neural Networks
Samuel F. Dodge
Lina Karam
FAtt
88
48
0
01 Feb 2017
SalGAN: Visual Saliency Prediction with Generative Adversarial Networks
SalGAN: Visual Saliency Prediction with Generative Adversarial Networks
Junting Pan
Cristian Canton Ferrer
Kevin McGuinness
Noel E. O'Connor
Jordi Torres
E. Sayrol
Xavier Giró-i-Nieto
GAN
82
398
0
04 Jan 2017
Predicting Human Eye Fixations via an LSTM-based Saliency Attentive
  Model
Predicting Human Eye Fixations via an LSTM-based Saliency Attentive Model
Marcella Cornia
Lorenzo Baraldi
G. Serra
Rita Cucchiara
84
550
0
29 Nov 2016
A Deep Spatial Contextual Long-term Recurrent Convolutional Network for
  Saliency Detection
A Deep Spatial Contextual Long-term Recurrent Convolutional Network for Saliency Detection
Nian Liu
Junwei Han
65
189
0
06 Oct 2016
DeepGaze II: Reading fixations from deep features trained on object
  recognition
DeepGaze II: Reading fixations from deep features trained on object recognition
Matthias Kümmerer
Thomas S. A. Wallis
Matthias Bethge
80
288
0
05 Oct 2016
A Deep Multi-Level Network for Saliency Prediction
A Deep Multi-Level Network for Saliency Prediction
Marcella Cornia
Lorenzo Baraldi
G. Serra
Rita Cucchiara
FAtt
58
346
0
05 Sep 2016
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets,
  Atrous Convolution, and Fully Connected CRFs
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Patrick Murphy
Alan Yuille
SSeg
242
18,232
0
02 Jun 2016
TensorFlow: A system for large-scale machine learning
TensorFlow: A system for large-scale machine learning
Martín Abadi
P. Barham
Jianmin Chen
Zhiwen Chen
Andy Davis
...
Vijay Vasudevan
Pete Warden
Martin Wicke
Yuan Yu
Xiaoqiang Zhang
GNN
AI4CE
431
18,350
0
27 May 2016
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOS
SSeg
738
37,846
0
20 May 2016
What do different evaluation metrics tell us about saliency models?
What do different evaluation metrics tell us about saliency models?
Zoya Bylinskii
Tilke Judd
A. Oliva
Antonio Torralba
F. Durand
XAI
46
816
0
12 Apr 2016
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed
  Systems
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
Martín Abadi
Ashish Agarwal
P. Barham
E. Brevdo
Zhiwen Chen
...
Pete Warden
Martin Wattenberg
Martin Wicke
Yuan Yu
Xiaoqiang Zheng
269
11,152
0
14 Mar 2016
Shallow and Deep Convolutional Networks for Saliency Prediction
Shallow and Deep Convolutional Networks for Saliency Prediction
Junting Pan
Kevin McGuinness
E. Sayrol
Noel E. O'Connor
Xavier Giró-i-Nieto
FAtt
68
467
0
02 Mar 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
193,878
0
10 Dec 2015
Multi-Scale Context Aggregation by Dilated Convolutions
Multi-Scale Context Aggregation by Dilated Convolutions
Feng Yu
V. Koltun
SSeg
268
8,442
0
23 Nov 2015
DeepFix: A Fully Convolutional Neural Network for predicting Human Eye
  Fixations
DeepFix: A Fully Convolutional Neural Network for predicting Human Eye Fixations
S. Kruthiventi
Kumar Ayush
R. Venkatesh Babu
76
484
0
10 Oct 2015
Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
560
7,989
0
13 Jun 2015
ReNet: A Recurrent Neural Network Based Alternative to Convolutional
  Networks
ReNet: A Recurrent Neural Network Based Alternative to Convolutional Networks
Francesco Visin
Kyle Kastner
Kyunghyun Cho
Matteo Matteucci
Aaron Courville
Yoshua Bengio
SSeg
67
271
0
03 May 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.8K
150,039
0
22 Dec 2014
Salient Object Detection: A Survey
Salient Object Detection: A Survey
Ali Borji
Ming-Ming Cheng
Qibin Hou
Huaizu Jiang
Jia Li
75
757
0
18 Nov 2014
Deep Gaze I: Boosting Saliency Prediction with Feature Maps Trained on
  ImageNet
Deep Gaze I: Boosting Saliency Prediction with Feature Maps Trained on ImageNet
Matthias Kümmerer
Lucas Theis
Matthias Bethge
FAtt
97
407
0
04 Nov 2014
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
457
43,649
0
17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.6K
100,348
0
04 Sep 2014
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
413
43,638
0
01 May 2014
Visualizing and Understanding Convolutional Networks
Visualizing and Understanding Convolutional Networks
Matthew D. Zeiler
Rob Fergus
FAtt
SSL
591
15,876
0
12 Nov 2013
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