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Unsupervised Video Summarization With Adversarial LSTM Networks

CVPR 2017 · Video › Video segmentation and tracking · approach: Self-supervised video representation learning · 637 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add GAN loss to decoder training (ablation)SUM-GAN · SumMeF-score: 34.6 -> 38.7Helped
Add GAN loss to decoder training (ablation)SUM-GAN · TVSumF-score: 49.5 -> 50.8Helped
Add GAN loss to decoder training (ablation)SUM-GAN · OpenVideoF-score: 69.3 -> 71.5Helped
Add GAN loss to decoder training (ablation)SUM-GAN · YouTubeF-score: 56.9 -> 58.9Helped
Add DPP diversity regularization instead of summary-length regularization (ablation)SUM-GAN · SumMe, TVSum, OpenVideo, YouTubeF-score: 38.7 -> 39.1; 50.8 -> 51.7; 71.5 -> 72.8; 58.9 -> 60.1Mixed
Add repelling diversity regularization instead of summary-length regularization (ablation)SUM-GAN · SumMe, TVSum, OpenVideo, YouTubeF-score: 38.7 -> 38.5; 50.8 -> 51.9; 71.5 -> 72.3; 58.9 -> 59.6Mixed
Add summary-length regularization (ablation)SUM-GAN · SumMe, TVSum, OpenVideo, YouTubeF-score: 35.7 -> 38.7; 50.1 -> 50.8; 69.8 -> 71.5; 57.1 -> 58.9Helped
Add randomly sampled summaries to GAN training (ablation)SUM-GAN · SumMe, TVSum, YouTubeF-score: 37.2 -> 38.7; 50.4 -> 50.8; 58.4 -> 58.9Helped
Add randomly sampled summaries to GAN training (ablation)SUM-GAN · OpenVideoF-score: 71.5 -> 71.5No clear effect
Use keyframe supervision (ablation)SUM-GAN · SumMe, TVSum, OpenVideo, YouTubeF-score: 38.7 -> 41.7; 50.8 -> 56.3; 71.5 -> 77.3; 58.9 -> 62.5Helped

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