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A Visual Representation-guided Framework with Global Affinity for Weakly Supervised Salient Object D...

A Visual Representation-guided Framework with Global Affinity for Weakly Supervised Salient Object D...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2778779768

A Visual Representation-guided Framework with Global Affinity for Weakly Supervised Salient Object Detection

About this item

Full title

A Visual Representation-guided Framework with Global Affinity for Weakly Supervised Salient Object Detection

Publisher

Ithaca: Cornell University Library, arXiv.org

Journal title

arXiv.org, 2023-06

Language

English

Formats

Publication information

Publisher

Ithaca: Cornell University Library, arXiv.org

More information

Scope and Contents

Contents

Fully supervised salient object detection (SOD) methods have made considerable progress in performance, yet these models rely heavily on expensive pixel-wise labels. Recently, to achieve a trade-off between labeling burden and performance, scribble-based SOD methods have attracted increasing attention. Previous scribble-based models directly implem...

Alternative Titles

Full title

A Visual Representation-guided Framework with Global Affinity for Weakly Supervised Salient Object Detection

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2778779768

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2778779768

Other Identifiers

E-ISSN

2331-8422

DOI

10.48550/arxiv.2302.10697

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