Temporally Constrained Neural Networks (TCNN): A framework for semi-supervised video semantic segmen...
Temporally Constrained Neural Networks (TCNN): A framework for semi-supervised video semantic segmentation
About this item
Full title
Author / Creator
Publisher
Ithaca: Cornell University Library, arXiv.org
Journal title
Language
English
Formats
Publication information
Publisher
Ithaca: Cornell University Library, arXiv.org
Subjects
More information
Scope and Contents
Contents
A major obstacle to building models for effective semantic segmentation, and particularly video semantic segmentation, is a lack of large and well annotated datasets. This bottleneck is particularly prohibitive in highly specialized and regulated fields such as medicine and surgery, where video semantic segmentation could have important application...
Alternative Titles
Full title
Temporally Constrained Neural Networks (TCNN): A framework for semi-supervised video semantic segmentation
Authors, Artists and Contributors
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_2614940794
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2614940794
Other Identifiers
E-ISSN
2331-8422
