Constraining Temporal Relationship for Action Localization

18 Feb 2020Peisen ZhaoLingxi XieChen JuYa ZhangQi Tian

Recently, temporal action localization (TAL), i.e., finding specific action segments in untrimmed videos, has attracted increasing attentions of the computer vision community. State-of-the-art solutions for TAL involves predicting three values at each time point, corresponding to the probabilities that the action starts, continues and ends, and post-processing these curves for the final localization... (read more)

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