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View all- Meng LBan GXi GGuo S(2025)Pseudo label refining for semi-supervised temporal action localizationPLOS ONE10.1371/journal.pone.031841820:2(e0318418)Online publication date: 5-Feb-2025
Temporal action localization is a challenging task for video understanding. Most previous methods process each proposal independently and neglect the reasoning of proposal-proposal and proposal-context relations. We argue that the supplementary ...
This paper addresses an important and challenging task, namely detecting the temporal intervals of actions in untrimmed videos. Specifically, we present a framework called structured segment network (SSN). It is built on temporal proposals of ...
Enormous untrimmed videos from the real world are difficult to analyze and manage. Temporal action localization algorithms can help us to locate and recognize human activity clips in untrimmed videos. Recently, anchor-free temporal action ...
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