Learning a family of detectors via multiplicative kernels
Object detection is challenging when the object class exhibits large within-class variations. In this work, we show that foreground-background classification (detection) and within-class classification of the foreground class (pose estimation) can be jointly learned in a multiplicative form of two k...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 33(2011), 3 vom: 14. März, Seite 514-30
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| 1. Verfasser: |
Yuan, Quan
(VerfasserIn) |
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| Weitere Verfasser: |
Thangali, Ashwin,
Ablavsky, Vitaly,
Sclaroff, Stan |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2011
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
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| Schlagworte: | Journal Article
Research Support, U.S. Gov't, Non-P.H.S. |
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