Adaptive Prototype Learning for Weakly-supervised Temporal Action Localization

Weakly-supervised Temporal Action Localization (WTAL) aims to localize action instances with only video-level labels during training, where two primary issues are localization incompleteness and background interference. To relieve these two issues, recent methods adopt an attention mechanism to acti...

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Bibliographische Detailangaben

Veröffentlicht in:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - PP(2024) vom: 20. Aug.
1. Verfasser:	Luo, Wang (VerfasserIn)
Weitere Verfasser:	Ren, Huan, Zhangd, Tianzhu, Yang, Wenfei, Zhang, Yongdong
Format:	Online-Aufsatz
Sprache:	English
Veröffentlicht:	2024
Zugriff auf das übergeordnete Werk:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Schlagworte:	Journal Article