Learning a Deep Representative Saliency Map With Sparse Tensors

Learning a Deep Representative Saliency Map With Sparse Tensors

The past few years have witnessed the prosperity of establishing deep architectures for modeling complex structured data. In this paper, motivated by the hierarchical, multi-scale and sparse characteristics of Human Visual System (HVS), we advance a new Deep and Sparse Representative (DSR) saliency...

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Bibliographic Details
Main Authors: Shuyuan Yang, Quanwei Gao, Shigang Wang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Saliency detection
deep representatives
hierarchical sparse modeling
graph Laplacian regularizer
sparse tensor
Online Access:https://ieeexplore.ieee.org/document/8781839/

Internet

https://ieeexplore.ieee.org/document/8781839/

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