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...
主要な著者: | Mittal, A, Blaschko, MB, Zisserman, A, Torr, PHS |
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フォーマット: | Conference item |
言語: | English |
出版事項: |
Springer
2012
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