Unsupervised discovery of visual object class hierarchies

Objects in the world can be arranged into a hierarchy based on their semantic meaning (e.g. organism - animal - feline - cat). What about defining a hierarchy based on the visual appearance of objects? This paper investigates ways to automatically discover a hierarchical structure for the visual wor...

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Bibliographic Details
Main Authors: Sivic, J, Russell, BC, Zisserman, A, Freeman, WT, Efros, AA
Format: Conference item
Language:English
Published: IEEE 2008