End-to-end Convolutional Networks for Saliency Prediction (software)
| Resource Type | Date |
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| Software | 2015-05-27 |
Description
Authors:
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| Junting Pan | Xavier Giró-i-Nieto |
Download
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Award
| These software package and models were the winning entry of the saliency prediction task in the Large-scale Scene Understanding Challenge (LSUN) hold at the related workshop in CVPR 2015. Award sponsored by Amazon A9. |
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The UPC team at LSUN saliency prediction challenge 2015 |
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Award cerimony at CVPR 2015 with Jianxiong Xiao (Princeton) and a representative from Amazon A9. |
Acknowledgements
| We would like to especially thank Albert Gil Moreno and Josep Pujal from our technical support team at the Image Processing Group at the UPC. |  |
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| Albert Gil Moreno | Josep Pujal |
| We gratefully acknowledge the support of NVIDIA Corporation with the donation of the GeoForce GTX Titan Z used in this work. |  |
| The Image ProcessingGroup at the UPC is a SGR14 Consolidated Research Group recognized and sponsored by the Catalan Government (Generalitat de Catalunya) through its AGAUR office. |  |
| This work has been developed in the framework of the project BigGraph TEC2013-43935-R, funded by the Spanish Ministerio de Economía y Competitividad and the European Regional Development Fund (ERDF). |  |
People involved
| Xavier Giró | Associate Professor |
Related Projects
Related Publications
, “End-to-end Convolutional Network for Saliency Prediction”, arXiv, Boston, MA (USA), 2015. (1.18 MB) |
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, “Visual Saliency Prediction using Deep learning Techniques”. 2015. (1.57 MB) |