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3D Guided Weakly Supervised Semantic Segmentation

3D Guided Weakly Supervised Semantic Segmentation

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2466139467

3D Guided Weakly Supervised Semantic Segmentation

About this item

Full title

3D Guided Weakly Supervised Semantic Segmentation

Publisher

Ithaca: Cornell University Library, arXiv.org

Journal title

arXiv.org, 2020-12

Language

English

Formats

Publication information

Publisher

Ithaca: Cornell University Library, arXiv.org

More information

Scope and Contents

Contents

Pixel-wise clean annotation is necessary for fully-supervised semantic segmentation, which is laborious and expensive to obtain. In this paper, we propose a weakly supervised 2D semantic segmentation model by incorporating sparse bounding box labels with available 3D information, which is much easier to obtain with advanced sensors. We manually lab...

Alternative Titles

Full title

3D Guided Weakly Supervised Semantic Segmentation

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2466139467

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2466139467

Other Identifiers

E-ISSN

2331-8422

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