F1-score: 61.4Spearman's Rho: 0.106Kendall's Tau: 0.08
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Video Summarization
Video Summarization aims to generate a short synopsis that summarizes the video content by selecting its most informative and important parts. The produced summary is usually composed of a set of representative video frames (a.k.a. video key-frames), or video fragments (a.k.a. video key-fragments) that have been stitched in chronological order to form a shorter video. The former type of a video summary is known as video storyboard, and the latter type is known as video skim.
<span class="description-source">Source: Video Summarization Using Deep Neural Networks: A Survey</span> <br> <span style="color:grey; opacity: 0.6">Image credit: iJRASET</span>
논문
F1-score (Canonical): 61.0
Kendall's Tau: 0.194Spearman's Rho: 0.255
F1-score: 58.8Spearman's Rho: 0.034Kendall's Tau: 0.025training time (s): 1797
F1-score (Canonical): 62.1F1-score (Augmented): 63.9
F1-score: 62Parameters (M): 5.25
F1-score (Canonical): 63.0F1-score (Augmented): 63.6
F1-score (Canonical): 61.42F1-score (Augmented): 62.37
F1-score (Canonical): 61.0F1-score (Augmented): 61.8
F1-score: 58.4training time (s): 3895Parameters (M): 23.31
F1-score: 60.6training time (s): 9380Parameters (M): 26.75
F1-score: 54.48
F1-score: 57.6
F1-score: 57.6Spearman's Rho: 0.026Kendall's Tau: 0.020training time (s): 58.8
F1 (avg): 49.72
F1 (avg): 52.08
MAP (50%): 61.60
CIDEr: 8.6BLEU-4: 11.7METEOR: 19.7ROUGE: 26.8
CIDEr: 152.3BLEU-4: 7.67METEOR: 23.2ROUGE: 43
F1-score: 58.3training time (s): 5423Parameters (M): 24.31
1 shot Micro-F1: 23.5