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SkeletonNet: Shape Pixel to Skeleton Pixel

SkeletonNet: Shape Pixel to Skeleton Pixel

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2251844576

SkeletonNet: Shape Pixel to Skeleton Pixel

About this item

Full title

SkeletonNet: Shape Pixel to Skeleton Pixel

Author / Creator

Publisher

Ithaca: Cornell University Library, arXiv.org

Journal title

arXiv.org, 2019-07

Language

English

Formats

Publication information

Publisher

Ithaca: Cornell University Library, arXiv.org

More information

Scope and Contents

Contents

Deep Learning for Geometric Shape Understating has organized a challenge for extracting different kinds of skeletons from the images of different objects. This competition is organized in association with CVPR 2019. There are three different tracks of this competition. The present manuscript describes the method used to train the model for the data...

Alternative Titles

Full title

SkeletonNet: Shape Pixel to Skeleton Pixel

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2251844576

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2251844576

Other Identifiers

E-ISSN

2331-8422

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