Complementary to Multiple Labels : A Correlation-Aware Correction Approach

Complementary label learning (CLL) requires annotators to give irrelevant labels instead of relevant labels for instances. Currently, CLL has shown its promising performance on multi-class data by estimating a transition matrix. However, current multi-class CLL techniques cannot work well on multi-l...

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Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on pattern analysis and machine intelligence. - 1979. - 46(2024), 12 vom: 02. Nov., Seite 9179-9191
1. Verfasser: Gao, Yi (VerfasserIn)
Weitere Verfasser: Xu, Miao, Zhang, Min-Ling
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2024
Zugriff auf das übergeordnete Werk:IEEE transactions on pattern analysis and machine intelligence
Schlagworte:Journal Article