Saliency Detection Using Global and Local Information Under Multilayer Cellular Automata

Saliency Detection Using Global and Local Information Under Multilayer Cellular Automata

To detect the salient object in natural images with low contrast and complex backgrounds, a saliency detection method that fuses global and local information under multilayer cellular automata is proposed. First, a global saliency map was obtained by the iteratively trained convolutional neural netw...

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Bibliographic Details
Main Authors: Yihang Liu, Peiyan Yuan
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Saliency detection
global and local maps
multilayer cellular automata
CNN-based encoder-decoder model
sparse coding
Online Access:https://ieeexplore.ieee.org/document/8708313/

Internet

https://ieeexplore.ieee.org/document/8708313/

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