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Deep Reinforcement Learning for Unsupervised Video Summarization With Diversity-Representativeness Reward

AAAI 2018 · Video › Video segmentation and tracking · approach: Self-supervised video representation learning · 478 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
combine diversity and representativeness rewards instead of using either alone (ablation)DSN · SumMeF-score: 40.5 -> 41.4; 40.7 -> 41.4Helped
combine diversity and representativeness rewards instead of using either alone (ablation)DSN · TVSumF-score: 56.2 -> 57.6; 56.9 -> 57.6Helped
remove temporal-distance lambda technique (ablation)D-DSN · SumMe and TVSumF-score: 39.3 -> 40.5; 55.7 -> 56.2Hurt
add supervised MLE objective (ablation)DR-DSN · SumMeF-score: 41.4 -> 42.1; 1.7% improvementsHelped
add supervised MLE objective (ablation)DR-DSN · TVSumF-score: 57.6 -> 58.1; 0.9% improvementsHelped
replace LSTM with GRU (ablation)DR-DSN · SumMeF-score: 41.4 -> 41.2Hurt
replace LSTM with GRU (ablation)DR-DSN · TVSumF-score: 57.6 -> 56.7Hurt
replace LSTM with GRU (ablation)DR-DSN_sup · SumMe and TVSumF-score: 42.1 -> 41.5; 58.1 -> 57.8Hurt
train with the diversity-representativeness RL reward rather than supervised cross-entropy aloneDSN · SumMe and TVSumF-score: 38.2 -> 41.4; 54.5 -> 57.6Helped
use DR-DSN instead of GAN_dppvideo summarization · SumMe and TVSum, canonicalF-score: 39.1 -> 41.4; 51.7 -> 57.6Helped
use DR-DSN_sup instead of GAN_supvideo summarization · SumMe and TVSum, canonicalF-score: 41.7 -> 42.1; 56.3 -> 58.1Helped
use DR-DSN_sup instead of GAN_supvideo summarization · TVSum, augmentedF-score: 61.2 vs. 59.8Hurt

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