Shallow and Deep Convolutional Networks for Saliency Prediction

Type: Preprint

Publication Date: 2016-01-01

Citations: 139

DOI: https://doi.org/10.48550/arxiv.1603.00845

Locations

  • arXiv (Cornell University) - View - PDF
  • Dublin City University Open Access Institutional Repository (Dublin City University) - View - PDF
  • DataCite API - View

Works Cited by This (14)

Action Title Year Authors
+ Pixels to Voxels: Modeling Visual Representation in the Human Brain 2014 Pulkit Agrawal
Dustin Stansbury
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+ Theano: new features and speed improvements 2012 Frédéric Bastien
Pascal Lamblin
Razvan Pascanu
James Bergstra
Ian J. Goodfellow
Arnaud Bergeron
Nicolas Bouchard
David Warde-Farley
Yoshua Bengio
+ PDF Chat Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification 2015 Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
+ TurkerGaze: Crowdsourcing Saliency with Webcam based Eye Tracking 2015 Pingmei Xu
Krista A. Ehinger
Yinda Zhang
Adam Finkelstein
Sanjeev R. Kulkarni
Jianxiong Xiao
+ PDF Chat Fully convolutional networks for semantic segmentation 2015 Jonathan Long
Evan Shelhamer
Trevor Darrell
+ Improving neural networks by preventing co-adaptation of feature detectors 2012 Geoffrey E. Hinton
Nitish Srivastava
Alex Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
+ Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs 2014 Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Murphy
Alan Yuille
+ Return of the Devil in the Details: Delving Deep into Convolutional Nets 2014 Ken Chatfield
Karen Simonyan
Andrea Vedaldi
Andrew Zisserman
+ PDF Chat Going deeper with convolutions 2015 Christian Szegedy
Wei Liu
Yangqing Jia
Pierre Sermanet
Scott Reed
Dragomir Anguelov
Dumitru Erhan
Vincent Vanhoucke
Andrew Rabinovich
+ PDF Chat Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation 2014 Ross Girshick
Jeff Donahue
Trevor Darrell
Jitendra Malik