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...
| Principais autores: | , , , , |
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| Formato: | Conference item |
| Idioma: | English |
| Publicado em: |
IEEE
2008
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