Analysis and evaluation of visual information systems performance

By Michael Grubinger. 2007

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How researchers see this paper

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Transductive Multi-View Zero-Shot Learning (2015, methodology): “4 Experiments Datasets Two popular multi-label datasets – Natural Scene [33] and IAPRTC-12 [12] are used to evaluate our framework.”
Deep Sets (2017, background): “5 (Grubinger, 2007): Comprises of around 20 k images including pictures of different sports and actions, photographs of people, animals, cities, landscapes, and many other aspects of contemporary life.”
TagProp: Discriminative metric learning in nearest neighbor models for image auto-annotation (2009, unknown): “000 images accompanied with descriptions in several languages was initially published for cross-lingual retrieval [8].”
The segmented and annotated IAPR TC-12 benchmark (2010, background): “, pictures of people on vacation trips [12]).”
Im2Text and Text2Im: Associating Images and Texts for Cross-Modal Retrieval (2014, methodology): “Here we consider textual data to be in the form of either phrases or labels, and demonstrate results on IAPR TC-12 dataset [8].”