LOGO
Introduced by Zhang et al. in LOGO: A Long-Form Video Dataset for Group Action Quality Assessment
LOGO is a multi-person long-form video dataset with frame-wise annotations on both action procedures and formations based on artistic swimming scenarios. It provides a potential for constructing an action quality assessment approach with the ability to model group information among actors. Longer video durations also challenge the ability of the method to aggregate long-term temporal information.
Papers
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