Uncertainty-Aware Dual-Evidential Learning for Weakly-Supervised Temporal Action Localization

Weakly-supervised temporal action localization (WTAL) aims to localize the action instances and recognize their categories with only video-level labels. Despite great progress, existing methods suffer from severe action-background ambiguity, which mainly arises from background noise and neglect of n...

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Publié dans:IEEE transactions on pattern analysis and machine intelligence. - 1979. - 45(2023), 12 vom: 09. Dez., Seite 15896-15911
Auteur principal: Chen, Mengyuan (Auteur)
Autres auteurs: Gao, Junyu, Xu, Changsheng
Format: Article en ligne
Langue:English
Publié: 2023
Accès à la collection:IEEE transactions on pattern analysis and machine intelligence
Sujets:Journal Article