View in EDS PDF Full Text

Benchmarking the Robustness of Semantic Segmentation Models with Respect to Common Corruptions.

Saved in:
Bibliographic Details
Title: Benchmarking the Robustness of Semantic Segmentation Models with Respect to Common Corruptions.
Authors: Kamann, Christoph1, of182@uni-heidelberg.de, Rother, Carsten1
Source: International Journal of Computer Vision; Feb2021, Vol. 129 Issue 2, p462-483, 22p
Database: Applied Science & Technology Source
FullText Links:
  – Type: pdflink
Text:
  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 148703319
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Benchmarking the Robustness of Semantic Segmentation Models with Respect to Common Corruptions.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Kamann%2C+Christoph%22">Kamann, Christoph</searchLink><relatesTo>1</relatesTo>, <i>of182@uni-heidelberg.de</i><br /><searchLink fieldCode="AU" term="%22Rother%2C+Carsten%22">Rother, Carsten</searchLink><relatesTo>1</relatesTo>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Computer+Vision%22">International Journal of Computer Vision</searchLink>; Feb2021, Vol. 129 Issue 2, p462-483, 22p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=148703319
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s11263-020-01383-2
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 22
        StartPage: 462
    Titles:
      – TitleFull: Benchmarking the Robustness of Semantic Segmentation Models with Respect to Common Corruptions.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Kamann, Christoph
      – PersonEntity:
          Name:
            NameFull: Rother, Carsten
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 02
              Text: Feb2021
              Type: published
              Y: 2021
          Identifiers:
            – Type: issn-print
              Value: 09205691
          Numbering:
            – Type: volume
              Value: 129
            – Type: issue
              Value: 2
          Titles:
            – TitleFull: International Journal of Computer Vision
              Type: main
ResultId 1