---
res:
  bibo_abstract:
  - 'We study the problem of object recognition for categories for which we have no
    training examples, a task also called zero-data or zero-shot learning. This situation
    has hardly been studied in computer vision research, even though it occurs frequently:
    the world contains tens of thousands of different object classes and for only
    few of them image collections have been formed and suitably annotated. To tackle
    the problem we introduce attribute-based classification: objects are identified
    based on a high-level description that is phrased in terms of semantic attributes,
    such as the object''s color or shape. Because the identification of each such
    property transcends the specific learning task at hand, the attribute classifiers
    can be pre-learned independently, e.g. from existing image datasets unrelated
    to the current task. Afterwards, new classes can be detected based on their attribute
    representation, without the need for a new training phase. In this paper we also
    introduce a new dataset, Animals with Attributes, of over 30,000 images of 50
    animal classes, annotated with 85 semantic attributes. Extensive experiments on
    this and two more datasets show that attribute-based classification indeed is
    able to categorize images without access to any training images of the target
    classes.@eng'
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Christoph
      foaf_name: Lampert, Christoph
      foaf_surname: Lampert
      foaf_workInfoHomepage: http://www.librecat.org/personId=40C20FD2-F248-11E8-B48F-1D18A9856A87
    orcid: 0000-0001-8622-7887
  - foaf_Person:
      foaf_givenName: Hannes
      foaf_name: Nickisch, Hannes
      foaf_surname: Nickisch
  - foaf_Person:
      foaf_givenName: Stefan
      foaf_name: Harmeling, Stefan
      foaf_surname: Harmeling
  bibo_doi: 10.1109/TPAMI.2013.140
  bibo_issue: '3'
  bibo_volume: 36
  dct_date: 2013^xs_gYear
  dct_identifier:
  - UT:000331450100005
  dct_language: eng
  dct_publisher: IEEE@
  dct_title: Attribute-based classification for zero-shot learning of object categories@
...