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A survey of semi- and weakly supervised semantic segmentation of images

A survey of semi- and weakly supervised semantic segmentation of images

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3195886118

A survey of semi- and weakly supervised semantic segmentation of images

About this item

Full title

A survey of semi- and weakly supervised semantic segmentation of images

Publisher

Dordrecht: Springer Netherlands

Journal title

The Artificial intelligence review, 2020-08, Vol.53 (6), p.4259-4288

Language

English

Formats

Publication information

Publisher

Dordrecht: Springer Netherlands

More information

Scope and Contents

Contents

Image semantic segmentation is one of the most important tasks in the field of computer vision, and it has made great progress in many applications. Many fully supervised deep learning models are designed to implement complex semantic segmentation tasks and the experimental results are remarkable. However, the acquisition of pixel-level labels in f...

Alternative Titles

Full title

A survey of semi- and weakly supervised semantic segmentation of images

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_3195886118

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3195886118

Other Identifiers

ISSN

0269-2821

E-ISSN

1573-7462

DOI

10.1007/s10462-019-09792-7

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