File:Video frames of the Parallel Bars action category.png
Summary
| Description |
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. |
| Date | |
| Source | Own work |
| Author | Bikingdog |
![[1]](./File:Video_frames_of_the_Parallel_Bars_action_category.png#cite_note-Center_2013-1){kind=link}
![[2]](./File:Video_frames_of_the_Parallel_Bars_action_category.png#cite_note-Zang_Wang_Liu_Zhang_2018_pp._97–108-2){kind=link}
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