File:Video frames of the Parallel Bars action category.png

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English: Video frames of the Parallel Bars action category in the UCF-101 dataset[1] (a) The highest ranking four frames in video temporal attention weights, in which the athlete is performing on the parallel bars; (b) The lowest ranking four frames in video temporal attention weights, in which the athlete is standing on the ground. All weights are predicted by the ATW CNN algorithm[2]. The highly weighted video frames generally captures the most distinctive movements relevant to the action category.
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Author Bikingdog

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  1. ↑ Cite error: Invalid <ref> tag; no text was provided for refs named Center 2013
  2. ↑ Cite error: Invalid <ref> tag; no text was provided for refs named Zang Wang Liu Zhang 2018 pp. 97–108

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12 September 2018

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current21:46, 12 September 2018Thumbnail for version as of 21:46, 12 September 20182,950 × 1,365 (2.31 MB)BikingdogCross-wiki upload from en.wikipedia.org
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