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Distill-to-Label: Weakly Supervised Instance Labeling Using Knowledge Distillation

Distill-to-Label: Weakly Supervised Instance Labeling Using Knowledge Distillation

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2267319062

Distill-to-Label: Weakly Supervised Instance Labeling Using Knowledge Distillation

About this item

Full title

Distill-to-Label: Weakly Supervised Instance Labeling Using Knowledge Distillation

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

Weakly supervised instance labeling using only image-level labels, in lieu of expensive fine-grained pixel annotations, is crucial in several applications including medical image analysis. In contrast to conventional instance segmentation scenarios in computer vision, the problems that we consider are characterized by a small number of training ima...

Alternative Titles

Full title

Distill-to-Label: Weakly Supervised Instance Labeling Using Knowledge Distillation

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2267319062

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2267319062

Other Identifiers

E-ISSN

2331-8422

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