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Unsupervised Discovery of the Long-Tail in Instance Segmentation Using Hierarchical Self-Supervision

Unsupervised Discovery of the Long-Tail in Instance Segmentation Using Hierarchical Self-Supervision

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2509122089

Unsupervised Discovery of the Long-Tail in Instance Segmentation Using Hierarchical Self-Supervision

About this item

Full title

Unsupervised Discovery of the Long-Tail in Instance Segmentation Using Hierarchical Self-Supervision

Publisher

Ithaca: Cornell University Library, arXiv.org

Journal title

arXiv.org, 2021-04

Language

English

Formats

Publication information

Publisher

Ithaca: Cornell University Library, arXiv.org

More information

Scope and Contents

Contents

Instance segmentation is an active topic in computer vision that is usually solved by using supervised learning approaches over very large datasets composed of object level masks. Obtaining such a dataset for any new domain can be very expensive and time-consuming. In addition, models trained on certain annotated categories do not generalize well t...

Alternative Titles

Full title

Unsupervised Discovery of the Long-Tail in Instance Segmentation Using Hierarchical Self-Supervision

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2509122089

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2509122089

Other Identifiers

E-ISSN

2331-8422

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