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CFN: A coarse‐to‐fine network for eye fixation prediction

CFN: A coarse‐to‐fine network for eye fixation prediction

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_feef7185bdea4276b1e329843dac8109

CFN: A coarse‐to‐fine network for eye fixation prediction

About this item

Full title

CFN: A coarse‐to‐fine network for eye fixation prediction

Publisher

John Wiley & Sons, Inc

Journal title

IET Image Processing, 2022-07, Vol.16 (9), p.2373-2383

Language

English

Formats

Publication information

Publisher

John Wiley & Sons, Inc

Subjects

Subjects and topics

More information

Scope and Contents

Contents

Many image‐to‐image computer vision approaches have made great progress by an end‐to‐end framework with the encoder–decoder architecture. However, the same image‐to‐image eye fixation prediction task is not the same as those computer vision tasks in that it focuses more on salient regions rather than precise predictions for every pixel. Thus, it is...

Alternative Titles

Full title

CFN: A coarse‐to‐fine network for eye fixation prediction

Authors, Artists and Contributors

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Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_feef7185bdea4276b1e329843dac8109

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_feef7185bdea4276b1e329843dac8109

Other Identifiers

ISSN

1751-9659

E-ISSN

1751-9667

DOI

10.1049/ipr2.12494

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