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Top-Down Saliency Detection Driven by Visual Classification

Top-Down Saliency Detection Driven by Visual Classification

15 September 2017
Francesca Murabito
C. Spampinato
S. Palazzo
Konstantin Pogorelov
Michael Riegler
ArXivPDFHTML

Papers citing "Top-Down Saliency Detection Driven by Visual Classification"

19 / 19 papers shown
Title
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
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
Visual Saliency Detection Based on Multiscale Deep CNN Features
Visual Saliency Detection Based on Multiscale Deep CNN Features
Guanbin Li
Yizhou Yu
FAtt
70
337
0
07 Sep 2016
Saliency Detection via Combining Region-Level and Pixel-Level
  Predictions with CNNs
Saliency Detection via Combining Region-Level and Pixel-Level Predictions with CNNs
Youbao Tang
Xiangqian Wu
45
74
0
18 Aug 2016
Top-down Neural Attention by Excitation Backprop
Top-down Neural Attention by Excitation Backprop
Jianming Zhang
Zhe Lin
Jonathan Brandt
Xiaohui Shen
Stan Sclaroff
79
947
0
01 Aug 2016
Visual Saliency Based on Scale-Space Analysis in the Frequency Domain
Visual Saliency Based on Scale-Space Analysis in the Frequency Domain
Jian Li
M. Levine
X. An
Xin Xu
Hangen He
38
568
0
06 May 2016
Deep Contrast Learning for Salient Object Detection
Deep Contrast Learning for Salient Object Detection
Guanbin Li
Yizhou Yu
70
730
0
07 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
Dynamic Capacity Networks
Dynamic Capacity Networks
Amjad Almahairi
Nicolas Ballas
Tim Cooijmans
Yin Zheng
Hugo Larochelle
Aaron Courville
64
96
0
24 Nov 2015
DISC: Deep Image Saliency Computing via Progressive Representation
  Learning
DISC: Deep Image Saliency Computing via Progressive Representation Learning
Tianshui Chen
Liang Lin
Lingbo Liu
Xiaonan Luo
Xuelong Li
57
158
0
13 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
CAT2000: A Large Scale Fixation Dataset for Boosting Saliency Research
CAT2000: A Large Scale Fixation Dataset for Boosting Saliency Research
Ali Borji
Laurent Itti
50
283
0
14 May 2015
TurkerGaze: Crowdsourcing Saliency with Webcam based Eye Tracking
TurkerGaze: Crowdsourcing Saliency with Webcam based Eye Tracking
Pingmei Xu
Krista A. Ehinger
Yinda Zhang
Adam Finkelstein
Sanjeev R. Kulkarni
Jianxiong Xiao
50
370
0
25 Apr 2015
Visual Saliency Based on Multiscale Deep Features
Visual Saliency Based on Multiscale Deep Features
Guanbin Li
Yizhou Yu
FAtt
90
1,226
0
30 Mar 2015
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
Recurrent Models of Visual Attention
Recurrent Models of Visual Attention
Volodymyr Mnih
N. Heess
Alex Graves
Koray Kavukcuoglu
VLM
152
3,656
0
24 Jun 2014
The Secrets of Salient Object Segmentation
The Secrets of Salient Object Segmentation
Yin Li
Xiaodi Hou
Christof Koch
James M. Rehg
Alan Yuille
68
1,226
0
11 Jun 2014
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