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 Detection
About this item
Full title
Author / Creator
Publisher
Ithaca: Cornell University Library, arXiv.org
Journal title
Language
English
Formats
Publication information
Publisher
Ithaca: Cornell University Library, arXiv.org
Subjects
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
Author / Creator
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