VASTSum uses variational modeling of uncertainty in frame scores plus decoder-aligned regularization to achieve competitive Kendall and Spearman correlations on SumMe and TVSum while remaining a single-pass model.
Unsupervised video sum- marization with adversarial lstm networks
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Uncertainty-Aware and Decoder-Aligned Learning for Video Summarization
VASTSum uses variational modeling of uncertainty in frame scores plus decoder-aligned regularization to achieve competitive Kendall and Spearman correlations on SumMe and TVSum while remaining a single-pass model.