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Attending to Distinctive Moments: Weakly-Supervised Attention Models for Action Localization in Video
2017
2017 IEEE International Conference on Computer Vision Workshops (ICCVW)
We present a method for utilizing weakly supervised data for action localization in videos. We focus on sports video analysis, where videos contain scenes of multiple people. Weak supervision gathered from sports website is provided in the form of an action taking place in a video clip, without specification of the person performing the action. Since many frames of a clip can be ambiguous, a novel temporal attention approach is designed to select the most distinctive frames in which to apply
doi:10.1109/iccvw.2017.47
dblp:conf/iccvw/0023ZM17
fatcat:6y7rwk4qdvejrmeyvd2tlunqvy