Taxonomic multi-class prediction and person layout using efficient structured ranking

Taxonomic multi-class prediction and person layout using efficient structured ranking

In computer vision efficient multi-class classification is becoming a key problem as the field develops and the number of object classes to be identified increases. Often objects might have some sort of structure such as a taxonomy in which the mis-classification score for object classes close by, u...

Полное описание

Библиографические подробности
Главные авторы:	Mittal, A, Blaschko, MB, Zisserman, A, Torr, PHS
Формат:	Conference item
Язык:	English
Опубликовано:	Springer 2012

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