AVA: A Video Dataset of Spatio-temporally Localized Atomic Visual Actions

CVPR 2018 Chunhui GuChen SunDavid A. RossCarl VondrickCaroline PantofaruYeqing LiSudheendra VijayanarasimhanGeorge TodericiSusanna RiccoRahul SukthankarCordelia SchmidJitendra Malik

This paper introduces a video dataset of spatio-temporally localized Atomic Visual Actions (AVA). The AVA dataset densely annotates 80 atomic visual actions in 430 15-minute video clips, where actions are localized in space and time, resulting in 1.58M action labels with multiple labels per person occurring frequently... (read more)

PDF Abstract

Evaluation Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help community compare results to other papers.